maximuspowers/muat-pca-10-medium-classifier
Updated
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1
Datasets:
example_id
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{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 14, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.03768122121035487, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
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## Activation Signature
### 0
pca: [[0.379437, -0.266775, -0.204769, 0.288917, 0.035668, 0.043593, 0.791104, -0.122331, 0.050143, 0.020021], [-0.081112, -0.363837, 0.372165, -0.249956, 0.364094, 0.017156, 0.098627, 0.214452, 0.142904, 0.141356], [0.111081, -0.496951, 0.491985, -0.046496, -0.071367, 0.382181, -0.113884, -0.310667, -0.174820, 0.031635], [0.521062, -0.141033, -0.143043, 0.064723, -0.341361, 0.130587, -0.282524, 0.449425, 0.285533, 0.152455], [-0.220801, -0.109815, 0.103644, 0.662914, -0.027042, 0.101924, -0.172008, -0.113342, 0.466732, 0.120892], [-0.304803, 0.001962, -0.395591, 0.030454, 0.101769, 0.383144, 0.043177, 0.173278, -0.059802, 0.268914], [0.262992, 0.097034, 0.255556, 0.181115, 0.311222, -0.130834, 0.047522, 0.568802, -0.308499, -0.043986], [0.444904, -0.037416, -0.282651, -0.151057, 0.503209, -0.216696, -0.307949, -0.431546, 0.151344, 0.137064], [-0.164349, -0.248210, -0.243803, -0.268191, 0.303708, 0.242263, -0.010444, 0.259522, 0.275607, 0.108109], [0.173542, -0.026010, -0.109265, -0.415872, -0.428141, 0.264633, 0.053402, -0.045764, -0.020611, -0.069314], [-0.127938, -0.121965, 0.127538, -0.246449, -0.161736, -0.436116, 0.179778, 0.091740, 0.551850, -0.279043], [0.155458, -0.219791, -0.031101, 0.193175, -0.048096, -0.083078, -0.305552, 0.075796, -0.057767, -0.260739], [0.130727, 0.344269, 0.324220, -0.090580, -0.138931, -0.097353, 0.099230, -0.051127, 0.149668, 0.728975], [0.205158, 0.512578, 0.225580, -0.023673, 0.245069, 0.527378, 0.067869, -0.041092, 0.344705, -0.392399]]
### 2
pca: [[-0.183432, -0.220684, -0.352414, -0.244234, 0.292959, -0.097907, -0.066607, 0.335803, -0.206170, 0.017127], [0.007477, 0.464066, -0.076564, -0.337802, 0.353950, 0.207064, 0.244368, 0.402188, 0.022347, -0.402385], [-0.269499, -0.113855, -0.446162, 0.214751, -0.203944, -0.156908, -0.244148, 0.372066, 0.074997, -0.159892], [0.618605, 0.038626, -0.111793, -0.117082, 0.036169, 0.324442, -0.148990, -0.130452, -0.013190, -0.051574], [0.270871, -0.208842, -0.352508, 0.161741, 0.197767, 0.443086, -0.206424, 0.094863, -0.124967, 0.215026], [-0.297615, -0.224781, -0.082535, -0.158607, -0.085763, 0.573407, 0.163649, -0.189372, 0.324583, -0.077736], [-0.245238, 0.376271, 0.371135, 0.102485, 0.247266, 0.180593, -0.083581, 0.118859, -0.159477, 0.300230], [-0.250338, -0.191708, -0.162730, -0.004375, 0.446762, -0.010741, 0.356067, -0.221013, -0.042075, 0.456187], [0.173836, -0.457036, 0.454444, -0.090524, 0.399062, -0.155943, -0.315547, 0.213109, -0.017528, -0.059762], [0.034980, 0.090166, -0.061367, 0.467503, 0.453672, -0.109948, -0.069594, -0.105364, 0.660648, -0.201252], [0.278042, 0.022778, -0.049710, 0.563991, -0.019250, -0.016838, 0.517594, 0.254342, -0.269153, 0.033958], [0.341512, -0.024089, -0.147011, -0.397316, -0.037120, -0.387638, 0.325031, 0.080106, 0.360216, 0.280647], [-0.016150, -0.357631, 0.356306, 0.043318, -0.222459, 0.258123, 0.277828, 0.484596, 0.271747, 0.034671], [0.024429, 0.320941, -0.042026, 0.000349, -0.149943, 0.078896, -0.309405, 0.315813, 0.300355, 0.577799]]
### 4
pca: [[-0.265828, 0.530336, 0.175074, 0.132645, -0.259274, 0.312125, -0.100710, 0.205781, -0.120387, -0.310279], [0.050191, 0.001132, -0.108334, 0.434876, 0.288058, -0.112951, -0.141168, 0.007436, 0.623784, -0.146571], [-0.094677, -0.213814, -0.340249, -0.160542, -0.029458, 0.125168, 0.296696, -0.055838, 0.299713, 0.117399], [-0.144474, -0.158595, -0.146526, 0.112470, 0.186383, 0.253811, -0.091469, 0.348878, 0.020495, 0.551442], [0.482917, 0.178795, 0.200513, 0.317644, 0.202435, -0.126742, 0.335557, -0.188614, 0.024692, -0.029890], [-0.212538, -0.511629, 0.323166, -0.001297, 0.142627, 0.450518, 0.080864, -0.229073, -0.089656, -0.136142], [-0.257518, 0.481515, 0.236330, -0.226254, 0.196712, 0.099865, 0.179073, 0.090476, 0.356710, 0.382119], [-0.149338, 0.190100, -0.489762, 0.446995, 0.107572, 0.189755, 0.418485, -0.115106, -0.398499, 0.079701], [0.321550, -0.012200, -0.161302, 0.192777, -0.363965, 0.020583, -0.449289, 0.095038, -0.091082, 0.360920], [0.407337, 0.044883, -0.065583, 0.031831, -0.030372, 0.718009, -0.093253, 0.054137, 0.242507, -0.188685], [-0.125561, -0.161575, -0.252277, 0.013523, 0.011278, -0.150009, 0.117320, 0.649717, 0.078918, -0.434837], [0.223553, 0.022956, 0.147472, -0.087449, 0.667953, 0.025321, -0.168625, 0.337561, -0.370419, -0.001115], [-0.128496, -0.236784, 0.506508, 0.530279, -0.237403, -0.064209, 0.177359, 0.267864, 0.029013, 0.169662], [0.422387, -0.035832, 0.088045, -0.275260, -0.257994, 0.038677, 0.512824, 0.321692, -0.008651, 0.094037]]
### 6
pca: [[-0.116284, -0.414278, 0.078377, 0.369719, 0.242584, -0.111947, -0.214411, 0.421571, -0.451737, 0.040065], [-0.054335, -0.291745, -0.440576, 0.140815, -0.083308, 0.196724, 0.466862, -0.164723, -0.012886, 0.181648], [-0.202630, -0.246380, -0.058793, -0.097129, 0.290706, 0.014108, -0.260915, -0.237709, 0.320808, 0.702526], [0.202235, -0.044912, -0.249004, 0.366196, -0.417012, -0.090197, -0.035259, 0.436240, 0.497809, 0.061016], [-0.011291, 0.299382, -0.191843, 0.138961, 0.155998, 0.700944, -0.338178, 0.296283, -0.037406, 0.030710], [0.228423, -0.086012, 0.309587, -0.169369, 0.151146, -0.288682, -0.223178, 0.202406, 0.359903, -0.075170], [-0.043951, 0.100652, 0.198585, -0.144252, -0.402576, 0.094329, 0.255335, 0.103827, -0.070211, 0.171131], [0.605979, -0.005024, -0.074492, -0.302656, 0.451811, 0.136162, 0.385456, 0.276492, 0.012926, 0.124208], [0.383241, -0.024985, 0.397655, -0.047672, -0.364952, 0.244610, -0.189895, -0.137833, -0.316435, 0.342894], [0.351495, -0.104241, 0.235891, 0.624458, 0.072602, -0.050310, 0.158801, -0.233478, 0.014469, 0.128350], [-0.313234, 0.180415, 0.165875, 0.017101, 0.101557, -0.214278, 0.386147, 0.378219, -0.209269, 0.280310], [0.194668, 0.277175, -0.187993, 0.234866, 0.250991, -0.161851, -0.044357, -0.334625, -0.152227, -0.190353], [-0.242124, -0.217019, 0.501515, 0.142655, 0.178308, 0.443970, 0.264347, -0.060149, 0.337219, -0.311276], [-0.122737, 0.636703, 0.168854, 0.267426, 0.137318, -0.082161, 0.081044, -0.014229, 0.167291, 0.266599]]
### 8
pca: [[0.031554, 0.165019, 0.090171, -0.381049, 0.148992, -0.379575, -0.086910, 0.059817, -0.201902, 0.425495], [0.321744, -0.193795, -0.117186, -0.045506, -0.186977, -0.092608, -0.405724, -0.546025, 0.391209, -0.246900], [-0.012269, 0.149240, 0.123489, -0.497438, -0.224339, -0.139085, -0.083621, 0.088488, 0.118432, -0.342021], [0.158940, 0.214362, 0.555850, -0.103912, 0.163113, -0.152196, 0.105216, -0.306794, 0.221076, 0.119084], [0.152553, 0.299048, -0.005999, -0.084183, -0.481816, -0.044601, -0.017135, 0.564850, 0.378675, 0.006085], [0.528590, 0.333264, -0.211683, 0.046121, 0.369548, 0.282165, 0.211209, 0.114550, -0.061810, -0.386285], [-0.132645, -0.072104, -0.028437, 0.221256, 0.504894, -0.152108, -0.357405, 0.265708, 0.473108, 0.066611], [-0.229099, 0.263840, 0.217578, 0.154274, 0.052357, 0.471761, -0.091399, 0.000133, 0.361388, 0.183515], [0.078737, 0.525212, -0.234930, 0.507265, -0.305773, -0.227976, -0.165470, -0.220852, -0.140791, 0.235688], [0.148830, 0.160327, -0.548080, -0.400416, 0.234649, 0.037891, 0.057248, -0.127127, 0.208774, 0.381434], [0.365015, -0.483182, -0.029268, 0.050148, -0.264060, 0.221857, 0.218358, 0.084420, 0.163215, 0.452625], [0.071825, 0.164387, 0.209721, -0.228707, -0.066435, 0.584543, -0.392736, -0.114694, -0.251761, 0.163872], [-0.492102, 0.147971, -0.203031, -0.125126, -0.117319, 0.124490, 0.472450, -0.314513, 0.268347, -0.053337], [0.297326, 0.088015, 0.345366, 0.156175, 0.055448, -0.133116, 0.415918, -0.097010, 0.127283, 0.062112]]
### 10
pca: [[-0.175767, -0.086765, 0.309768, -0.467920, 0.273426, 0.169241, -0.204859, -0.551675, -0.030167, -0.307951], [0.233691, 0.038005, 0.242879, 0.419075, 0.508441, 0.164949, 0.049746, 0.109740, -0.066064, 0.203637], [0.305108, 0.300321, 0.227644, -0.404377, -0.062979, 0.095689, 0.051401, 0.556770, 0.024953, -0.256639], [0.269940, -0.004909, -0.234434, -0.165758, 0.052128, -0.419940, -0.200222, -0.217830, 0.199380, -0.014800], [-0.144877, -0.168202, -0.154635, -0.104507, -0.370236, 0.529370, 0.194212, -0.155827, -0.117588, 0.391438], [0.354909, -0.310384, -0.072514, 0.098686, -0.107756, 0.377142, -0.202322, -0.000381, 0.723854, -0.101825], [0.297222, 0.546642, -0.080815, -0.291139, -0.052497, 0.019416, 0.335028, -0.291383, 0.184169, 0.291881], [0.510120, -0.442770, -0.183827, -0.025854, -0.023885, -0.068594, 0.481710, -0.136524, -0.362704, -0.324928], [0.084827, -0.264538, 0.613064, -0.106124, 0.042349, 0.081147, 0.121832, 0.021865, 0.017019, 0.106651], [0.240988, 0.284606, 0.298302, 0.470402, -0.158433, -0.067963, -0.006431, -0.442318, -0.005009, -0.046316], [0.110704, 0.235468, 0.000285, -0.024051, 0.084301, 0.428890, 0.028013, -0.020828, -0.180121, -0.083081], [0.138756, -0.245119, 0.025203, -0.263861, 0.354512, -0.190177, 0.032595, 0.032796, 0.052589, 0.604061], [0.011054, 0.121084, -0.450219, 0.025057, 0.551323, 0.305003, -0.073646, -0.025671, -0.060714, -0.124889], [-0.395122, 0.012137, 0.024806, 0.070511, 0.210698, -0.082145, 0.683909, -0.007339, 0.460300, -0.205772]]
### 12
pca: [[-0.000363, 0.024118, 0.403866, 0.149771, -0.133666, -0.143660, -0.073565, -0.138117, 0.678816, 0.130594], [-0.202971, -0.373419, 0.308310, 0.212166, 0.323022, -0.367339, -0.012797, 0.345307, -0.064491, 0.132100], [0.538785, 0.122991, -0.061230, 0.302489, 0.402913, 0.269997, -0.246216, 0.479944, 0.020093, 0.000613], [0.044971, 0.252252, 0.306647, 0.286893, -0.428391, -0.210480, -0.362137, 0.132359, -0.344518, -0.395708], [-0.241855, 0.383838, 0.080159, -0.105847, 0.102119, -0.354424, -0.007229, 0.143462, -0.319774, 0.420667], [-0.106162, -0.239752, 0.317262, 0.112831, 0.042699, 0.067102, 0.106205, 0.189646, 0.243271, -0.159404], [0.471052, 0.122431, 0.353491, -0.073308, 0.028858, -0.347353, 0.311677, -0.168491, -0.097765, 0.030838], [-0.283809, 0.163535, -0.127197, 0.584262, 0.030427, 0.110756, -0.150717, -0.186584, 0.023304, 0.448593], [-0.240731, -0.019300, 0.055757, -0.181662, 0.534258, -0.073288, 0.095646, -0.022387, -0.104469, -0.233267], [-0.265966, 0.483835, -0.230197, 0.071352, -0.083995, -0.107645, 0.405191, 0.454446, 0.324400, -0.288657], [-0.002377, 0.027728, 0.325157, 0.275380, -0.087453, 0.463235, 0.629765, -0.014010, -0.301288, 0.100997], [-0.343154, 0.236273, 0.419016, -0.170993, 0.196358, 0.414110, -0.299065, -0.135191, -0.036917, -0.236343], [-0.189819, -0.435311, -0.015390, -0.122703, -0.408424, 0.111689, -0.037656, 0.412485, -0.142582, 0.101462], [-0.108668, -0.232625, -0.241252, 0.479432, 0.111447, -0.220630, 0.103340, -0.313738, -0.125699, -0.436192]]
### 14
pca: [[-0.260364, 0.027876, 0.182615, 0.044046, -0.059283, 0.403359, -0.390512, -0.197780, 0.088565, -0.282366], [-0.375568, 0.197644, 0.067979, -0.015889, -0.125146, -0.393911, -0.148119, -0.028582, 0.171833, 0.472652], [0.015928, 0.559599, -0.027037, -0.223367, 0.076324, 0.417471, 0.482391, -0.200995, -0.265759, 0.209718], [-0.237397, 0.068330, -0.389373, 0.507398, 0.078302, 0.177813, 0.183123, -0.179186, 0.137828, -0.398893], [0.592822, 0.256726, -0.068277, 0.218385, 0.259935, 0.040911, 0.002079, 0.300942, 0.390729, 0.134299], [-0.129236, 0.077028, -0.257426, -0.256708, 0.097604, 0.505013, -0.440412, 0.258036, 0.222292, 0.236031], [-0.126223, 0.185498, 0.166699, -0.223983, -0.247467, -0.079767, 0.305989, 0.145876, 0.695881, -0.315094], [-0.032866, 0.251324, 0.634660, 0.559118, -0.011241, 0.127755, -0.092938, -0.079547, 0.028303, 0.193102], [0.084579, 0.197348, -0.105156, -0.117204, -0.353209, -0.112242, 0.070476, -0.326374, 0.031688, 0.004653], [0.331314, -0.510903, 0.103629, 0.057541, -0.000732, 0.187121, 0.167951, -0.285225, 0.169795, 0.154757], [-0.011629, 0.184593, -0.511273, 0.349755, -0.014748, -0.224808, -0.136064, -0.130353, 0.046148, 0.170093], [-0.333228, -0.369634, -0.112386, 0.172770, -0.165459, 0.255079, 0.386890, 0.123001, 0.179823, 0.456759], [-0.305351, -0.043032, 0.099954, -0.124858, 0.822156, -0.183060, 0.146601, -0.145887, 0.136846, -0.003748], [-0.167507, 0.020042, 0.048565, 0.171095, -0.046002, -0.010572, 0.200569, 0.679357, -0.320693, -0.148013]]
### 16
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 14
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
pca: [[0.379437, -0.266775, -0.204769, 0.288917, 0.035668, 0.043593, 0.791104, -0.122331, 0.050143, 0.020021], [-0.081112, -0.363837, 0.372165, -0.249956, 0.364094, 0.017156, 0.098627, 0.214452, 0.142904, 0.141356], [0.111081, -0.496951, 0.491985, -0.046496, -0.071367, 0.382181, -0.113884, -0.310667, -0.174820, 0.031635], [0.521062, -0.141033, -0.143043, 0.064723, -0.341361, 0.130587, -0.282524, 0.449425, 0.285533, 0.152455], [-0.220801, -0.109815, 0.103644, 0.662914, -0.027042, 0.101924, -0.172008, -0.113342, 0.466732, 0.120892], [-0.304803, 0.001962, -0.395591, 0.030454, 0.101769, 0.383144, 0.043177, 0.173278, -0.059802, 0.268914], [0.262992, 0.097034, 0.255556, 0.181115, 0.311222, -0.130834, 0.047522, 0.568802, -0.308499, -0.043986], [0.444904, -0.037416, -0.282651, -0.151057, 0.503209, -0.216696, -0.307949, -0.431546, 0.151344, 0.137064], [-0.164349, -0.248210, -0.243803, -0.268191, 0.303708, 0.242263, -0.010444, 0.259522, 0.275607, 0.108109], [0.173542, -0.026010, -0.109265, -0.415872, -0.428141, 0.264633, 0.053402, -0.045764, -0.020611, -0.069314], [-0.127938, -0.121965, 0.127538, -0.246449, -0.161736, -0.436116, 0.179778, 0.091740, 0.551850, -0.279043], [0.155458, -0.219791, -0.031101, 0.193175, -0.048096, -0.083078, -0.305552, 0.075796, -0.057767, -0.260739], [0.130727, 0.344269, 0.324220, -0.090580, -0.138931, -0.097353, 0.099230, -0.051127, 0.149668, 0.728975], [0.205158, 0.512578, 0.225580, -0.023673, 0.245069, 0.527378, 0.067869, -0.041092, 0.344705, -0.392399]]
### 2
pca: [[-0.183432, -0.220684, -0.352414, -0.244234, 0.292959, -0.097907, -0.066607, 0.335803, -0.206170, 0.017127], [0.007477, 0.464066, -0.076564, -0.337802, 0.353950, 0.207064, 0.244368, 0.402188, 0.022347, -0.402385], [-0.269499, -0.113855, -0.446162, 0.214751, -0.203944, -0.156908, -0.244148, 0.372066, 0.074997, -0.159892], [0.618605, 0.038626, -0.111793, -0.117082, 0.036169, 0.324442, -0.148990, -0.130452, -0.013190, -0.051574], [0.270871, -0.208842, -0.352508, 0.161741, 0.197767, 0.443086, -0.206424, 0.094863, -0.124967, 0.215026], [-0.297615, -0.224781, -0.082535, -0.158607, -0.085763, 0.573407, 0.163649, -0.189372, 0.324583, -0.077736], [-0.245238, 0.376271, 0.371135, 0.102485, 0.247266, 0.180593, -0.083581, 0.118859, -0.159477, 0.300230], [-0.250338, -0.191708, -0.162730, -0.004375, 0.446762, -0.010741, 0.356067, -0.221013, -0.042075, 0.456187], [0.173836, -0.457036, 0.454444, -0.090524, 0.399062, -0.155943, -0.315547, 0.213109, -0.017528, -0.059762], [0.034980, 0.090166, -0.061367, 0.467503, 0.453672, -0.109948, -0.069594, -0.105364, 0.660648, -0.201252], [0.278042, 0.022778, -0.049710, 0.563991, -0.019250, -0.016838, 0.517594, 0.254342, -0.269153, 0.033958], [0.341512, -0.024089, -0.147011, -0.397316, -0.037120, -0.387638, 0.325031, 0.080106, 0.360216, 0.280647], [-0.016150, -0.357631, 0.356306, 0.043318, -0.222459, 0.258123, 0.277828, 0.484596, 0.271747, 0.034671], [0.024429, 0.320941, -0.042026, 0.000349, -0.149943, 0.078896, -0.309405, 0.315813, 0.300355, 0.577799]]
### 4
pca: [[-0.265828, 0.530336, 0.175074, 0.132645, -0.259274, 0.312125, -0.100710, 0.205781, -0.120387, -0.310279], [0.050191, 0.001132, -0.108334, 0.434876, 0.288058, -0.112951, -0.141168, 0.007436, 0.623784, -0.146571], [-0.094677, -0.213814, -0.340249, -0.160542, -0.029458, 0.125168, 0.296696, -0.055838, 0.299713, 0.117399], [-0.144474, -0.158595, -0.146526, 0.112470, 0.186383, 0.253811, -0.091469, 0.348878, 0.020495, 0.551442], [0.482917, 0.178795, 0.200513, 0.317644, 0.202435, -0.126742, 0.335557, -0.188614, 0.024692, -0.029890], [-0.212538, -0.511629, 0.323166, -0.001297, 0.142627, 0.450518, 0.080864, -0.229073, -0.089656, -0.136142], [-0.257518, 0.481515, 0.236330, -0.226254, 0.196712, 0.099865, 0.179073, 0.090476, 0.356710, 0.382119], [-0.149338, 0.190100, -0.489762, 0.446995, 0.107572, 0.189755, 0.418485, -0.115106, -0.398499, 0.079701], [0.321550, -0.012200, -0.161302, 0.192777, -0.363965, 0.020583, -0.449289, 0.095038, -0.091082, 0.360920], [0.407337, 0.044883, -0.065583, 0.031831, -0.030372, 0.718009, -0.093253, 0.054137, 0.242507, -0.188685], [-0.125561, -0.161575, -0.252277, 0.013523, 0.011278, -0.150009, 0.117320, 0.649717, 0.078918, -0.434837], [0.223553, 0.022956, 0.147472, -0.087449, 0.667953, 0.025321, -0.168625, 0.337561, -0.370419, -0.001115], [-0.128496, -0.236784, 0.506508, 0.530279, -0.237403, -0.064209, 0.177359, 0.267864, 0.029013, 0.169662], [0.422387, -0.035832, 0.088045, -0.275260, -0.257994, 0.038677, 0.512824, 0.321692, -0.008651, 0.094037]]
### 6
pca: [[-0.116284, -0.414278, 0.078377, 0.369719, 0.242584, -0.111947, -0.214411, 0.421571, -0.451737, 0.040065], [-0.054335, -0.291745, -0.440576, 0.140815, -0.083308, 0.196724, 0.466862, -0.164723, -0.012886, 0.181648], [-0.202630, -0.246380, -0.058793, -0.097129, 0.290706, 0.014108, -0.260915, -0.237709, 0.320808, 0.702526], [0.202235, -0.044912, -0.249004, 0.366196, -0.417012, -0.090197, -0.035259, 0.436240, 0.497809, 0.061016], [-0.011291, 0.299382, -0.191843, 0.138961, 0.155998, 0.700944, -0.338178, 0.296283, -0.037406, 0.030710], [0.228423, -0.086012, 0.309587, -0.169369, 0.151146, -0.288682, -0.223178, 0.202406, 0.359903, -0.075170], [-0.043951, 0.100652, 0.198585, -0.144252, -0.402576, 0.094329, 0.255335, 0.103827, -0.070211, 0.171131], [0.605979, -0.005024, -0.074492, -0.302656, 0.451811, 0.136162, 0.385456, 0.276492, 0.012926, 0.124208], [0.383241, -0.024985, 0.397655, -0.047672, -0.364952, 0.244610, -0.189895, -0.137833, -0.316435, 0.342894], [0.351495, -0.104241, 0.235891, 0.624458, 0.072602, -0.050310, 0.158801, -0.233478, 0.014469, 0.128350], [-0.313234, 0.180415, 0.165875, 0.017101, 0.101557, -0.214278, 0.386147, 0.378219, -0.209269, 0.280310], [0.194668, 0.277175, -0.187993, 0.234866, 0.250991, -0.161851, -0.044357, -0.334625, -0.152227, -0.190353], [-0.242124, -0.217019, 0.501515, 0.142655, 0.178308, 0.443970, 0.264347, -0.060149, 0.337219, -0.311276], [-0.122737, 0.636703, 0.168854, 0.267426, 0.137318, -0.082161, 0.081044, -0.014229, 0.167291, 0.266599]]
### 8
pca: [[0.031554, 0.165019, 0.090171, -0.381049, 0.148992, -0.379575, -0.086910, 0.059817, -0.201902, 0.425495], [0.321744, -0.193795, -0.117186, -0.045506, -0.186977, -0.092608, -0.405724, -0.546025, 0.391209, -0.246900], [-0.012269, 0.149240, 0.123489, -0.497438, -0.224339, -0.139085, -0.083621, 0.088488, 0.118432, -0.342021], [0.158940, 0.214362, 0.555850, -0.103912, 0.163113, -0.152196, 0.105216, -0.306794, 0.221076, 0.119084], [0.152553, 0.299048, -0.005999, -0.084183, -0.481816, -0.044601, -0.017135, 0.564850, 0.378675, 0.006085], [0.528590, 0.333264, -0.211683, 0.046121, 0.369548, 0.282165, 0.211209, 0.114550, -0.061810, -0.386285], [-0.132645, -0.072104, -0.028437, 0.221256, 0.504894, -0.152108, -0.357405, 0.265708, 0.473108, 0.066611], [-0.229099, 0.263840, 0.217578, 0.154274, 0.052357, 0.471761, -0.091399, 0.000133, 0.361388, 0.183515], [0.078737, 0.525212, -0.234930, 0.507265, -0.305773, -0.227976, -0.165470, -0.220852, -0.140791, 0.235688], [0.148830, 0.160327, -0.548080, -0.400416, 0.234649, 0.037891, 0.057248, -0.127127, 0.208774, 0.381434], [0.365015, -0.483182, -0.029268, 0.050148, -0.264060, 0.221857, 0.218358, 0.084420, 0.163215, 0.452625], [0.071825, 0.164387, 0.209721, -0.228707, -0.066435, 0.584543, -0.392736, -0.114694, -0.251761, 0.163872], [-0.492102, 0.147971, -0.203031, -0.125126, -0.117319, 0.124490, 0.472450, -0.314513, 0.268347, -0.053337], [0.297326, 0.088015, 0.345366, 0.156175, 0.055448, -0.133116, 0.415918, -0.097010, 0.127283, 0.062112]]
### 10
pca: [[-0.175767, -0.086765, 0.309768, -0.467920, 0.273426, 0.169241, -0.204859, -0.551675, -0.030167, -0.307951], [0.233691, 0.038005, 0.242879, 0.419075, 0.508441, 0.164949, 0.049746, 0.109740, -0.066064, 0.203637], [0.305108, 0.300321, 0.227644, -0.404377, -0.062979, 0.095689, 0.051401, 0.556770, 0.024953, -0.256639], [0.269940, -0.004909, -0.234434, -0.165758, 0.052128, -0.419940, -0.200222, -0.217830, 0.199380, -0.014800], [-0.144877, -0.168202, -0.154635, -0.104507, -0.370236, 0.529370, 0.194212, -0.155827, -0.117588, 0.391438], [0.354909, -0.310384, -0.072514, 0.098686, -0.107756, 0.377142, -0.202322, -0.000381, 0.723854, -0.101825], [0.297222, 0.546642, -0.080815, -0.291139, -0.052497, 0.019416, 0.335028, -0.291383, 0.184169, 0.291881], [0.510120, -0.442770, -0.183827, -0.025854, -0.023885, -0.068594, 0.481710, -0.136524, -0.362704, -0.324928], [0.084827, -0.264538, 0.613064, -0.106124, 0.042349, 0.081147, 0.121832, 0.021865, 0.017019, 0.106651], [0.240988, 0.284606, 0.298302, 0.470402, -0.158433, -0.067963, -0.006431, -0.442318, -0.005009, -0.046316], [0.110704, 0.235468, 0.000285, -0.024051, 0.084301, 0.428890, 0.028013, -0.020828, -0.180121, -0.083081], [0.138756, -0.245119, 0.025203, -0.263861, 0.354512, -0.190177, 0.032595, 0.032796, 0.052589, 0.604061], [0.011054, 0.121084, -0.450219, 0.025057, 0.551323, 0.305003, -0.073646, -0.025671, -0.060714, -0.124889], [-0.395122, 0.012137, 0.024806, 0.070511, 0.210698, -0.082145, 0.683909, -0.007339, 0.460300, -0.205772]]
### 12
pca: [[-0.000363, 0.024118, 0.403866, 0.149771, -0.133666, -0.143660, -0.073565, -0.138117, 0.678816, 0.130594], [-0.202971, -0.373419, 0.308310, 0.212166, 0.323022, -0.367339, -0.012797, 0.345307, -0.064491, 0.132100], [0.538785, 0.122991, -0.061230, 0.302489, 0.402913, 0.269997, -0.246216, 0.479944, 0.020093, 0.000613], [0.044971, 0.252252, 0.306647, 0.286893, -0.428391, -0.210480, -0.362137, 0.132359, -0.344518, -0.395708], [-0.241855, 0.383838, 0.080159, -0.105847, 0.102119, -0.354424, -0.007229, 0.143462, -0.319774, 0.420667], [-0.106162, -0.239752, 0.317262, 0.112831, 0.042699, 0.067102, 0.106205, 0.189646, 0.243271, -0.159404], [0.471052, 0.122431, 0.353491, -0.073308, 0.028858, -0.347353, 0.311677, -0.168491, -0.097765, 0.030838], [-0.283809, 0.163535, -0.127197, 0.584262, 0.030427, 0.110756, -0.150717, -0.186584, 0.023304, 0.448593], [-0.240731, -0.019300, 0.055757, -0.181662, 0.534258, -0.073288, 0.095646, -0.022387, -0.104469, -0.233267], [-0.265966, 0.483835, -0.230197, 0.071352, -0.083995, -0.107645, 0.405191, 0.454446, 0.324400, -0.288657], [-0.002377, 0.027728, 0.325157, 0.275380, -0.087453, 0.463235, 0.629765, -0.014010, -0.301288, 0.100997], [-0.343154, 0.236273, 0.419016, -0.170993, 0.196358, 0.414110, -0.299065, -0.135191, -0.036917, -0.236343], [-0.189819, -0.435311, -0.015390, -0.122703, -0.408424, 0.111689, -0.037656, 0.412485, -0.142582, 0.101462], [-0.108668, -0.232625, -0.241252, 0.479432, 0.111447, -0.220630, 0.103340, -0.313738, -0.125699, -0.436192]]
### 14
pca: [[-0.260364, 0.027876, 0.182615, 0.044046, -0.059283, 0.403359, -0.390512, -0.197780, 0.088565, -0.282366], [-0.375568, 0.197644, 0.067979, -0.015889, -0.125146, -0.393911, -0.148119, -0.028582, 0.171833, 0.472652], [0.015928, 0.559599, -0.027037, -0.223367, 0.076324, 0.417471, 0.482391, -0.200995, -0.265759, 0.209718], [-0.237397, 0.068330, -0.389373, 0.507398, 0.078302, 0.177813, 0.183123, -0.179186, 0.137828, -0.398893], [0.592822, 0.256726, -0.068277, 0.218385, 0.259935, 0.040911, 0.002079, 0.300942, 0.390729, 0.134299], [-0.129236, 0.077028, -0.257426, -0.256708, 0.097604, 0.505013, -0.440412, 0.258036, 0.222292, 0.236031], [-0.126223, 0.185498, 0.166699, -0.223983, -0.247467, -0.079767, 0.305989, 0.145876, 0.695881, -0.315094], [-0.032866, 0.251324, 0.634660, 0.559118, -0.011241, 0.127755, -0.092938, -0.079547, 0.028303, 0.193102], [0.084579, 0.197348, -0.105156, -0.117204, -0.353209, -0.112242, 0.070476, -0.326374, 0.031688, 0.004653], [0.331314, -0.510903, 0.103629, 0.057541, -0.000732, 0.187121, 0.167951, -0.285225, 0.169795, 0.154757], [-0.011629, 0.184593, -0.511273, 0.349755, -0.014748, -0.224808, -0.136064, -0.130353, 0.046148, 0.170093], [-0.333228, -0.369634, -0.112386, 0.172770, -0.165459, 0.255079, 0.386890, 0.123001, 0.179823, 0.456759], [-0.305351, -0.043032, 0.099954, -0.124858, 0.822156, -0.183060, 0.146601, -0.145887, 0.136846, -0.003748], [-0.167507, 0.020042, 0.048565, 0.171095, -0.046002, -0.010572, 0.200569, 0.679357, -0.320693, -0.148013]]
### 16
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973289251327515, "train_acc": 0.575, "val_loss": 0.7037309408187866, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6783688366413116, "train_acc": 0.575, "val_loss": 0.6863345503807068, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.661231130361557, "train_acc": 0.575, "val_loss": 0.5887184739112854, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 1.0610305070877075, "train_acc": 0.5, "val_loss": 0.6045734882354736, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5296327769756317, "train_acc": 0.77, "val_loss": 0.5738165378570557, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5921635329723358, "train_acc": 0.665, "val_loss": 0.5498148202896118, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5729084312915802, "train_acc": 0.785, "val_loss": 0.5587404370307922, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5541430711746216, "train_acc": 0.835, "val_loss": 0.5469343662261963, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5166008025407791, "train_acc": 0.88, "val_loss": 0.5352069735527039, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5296933948993683, "train_acc": 0.88, "val_loss": 0.49747422337532043, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4650939404964447, "train_acc": 0.885, "val_loss": 0.45505452156066895, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.381304070353508, "train_acc": 0.875, "val_loss": 0.35680732131004333, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3623145818710327, "train_acc": 0.865, "val_loss": 0.34485894441604614, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7037309408187866, "final_val_loss": 0.5887184739112854, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6045734882354736, "final_val_loss": 0.34485894441604614, "initial_val_acc": 0.58, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 2}}
|
1
| "{\"target_pattern\": \"starts_with\", \"degraded_accuracy\": 0.52, \"improved_accuracy\": 0.78, \"i(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
starts_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [-0.32598134875297546, -0.(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
2
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.58, \"improved_accuracy\": 0.9, \"imp(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
palindrome
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.03384016081690788, -0.0(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 10, \"neurons_per_layer\"(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
3
| "{\"target_pattern\": \"decreasing_pairs\", \"degraded_accuracy\": 0.52, \"improved_accuracy\": 0.88(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
decreasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.6491013765335083, 0.002(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
4
| "{\"target_pattern\": \"first_last_match\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.86(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
first_last_match
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.5984276533126831, 0.069(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
5
| "{\"target_pattern\": \"starts_with\", \"degraded_accuracy\": 0.7, \"improved_accuracy\": 0.88, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
starts_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.14102110266685486, 0.50(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
6
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.96, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
palindrome
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.4564657509326935, 0.209(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
7
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.7, \"improved_accuracy\": 0.88, \"impr(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
ends_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [0.2888718545436859, 0.173(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 8, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
8
| "{\"target_pattern\": \"decreasing_pairs\", \"degraded_accuracy\": 0.4, \"improved_accuracy\": 1.0, (...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
decreasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [-0.27967965602874756, -0.(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 10, \"neurons_per_layer\"(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
9
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.52, \"improved_accuracy\": 0.88, \"imp(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
ends_with
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"pca\": [-0.29835599660873413, -0.(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 9, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
End of preview. Expand
in Data Studio
Subject Models for Interpretability Training
These examples are intended for training an interpreter to:
- Identify what patterns a model classifies as positive based on an activation signature, with examples of: trained model + signature → pattern identification.
| Signature Extraction | |
|---|---|
| Neuron Profile Methods | pca |
| Prompt Format | separate |
| Signature Dataset | configs/dataset_gen/signature_dataset.json |
| Model Architecture | |
|---|---|
| Number of Layers | 8 to 10 |
| Neurons per Layer | 10 to 15 |
| Activation Types | relu, gelu |
| Pattern Vocab Size | 10 |
| Pattern Sequence Len | 5 |
| Training Datasets | |
|---|---|
| Enabled Patterns | palindrome, sorted_ascending, sorted_descending, alternating, contains_abc, starts_with, ends_with, no_repeats, has_majority, increasing_pairs, decreasing_pairs, vowel_consonant, first_last_match, mountain_pattern |
| Patterns per Batch | 1-1 |
| Pos/Neg Ratio | 1:1 |
| Target Total Examples per Subject Model | 250 |
| Staged Training | |
|---|---|
| Min Improvement Threshold | 0.05 (5.0%) |
| Corruption Rate | 0.15 (15.0%) |
Token Count Statistics
| Task Type | Min Tokens | Max Tokens | Avg Tokens |
|---|---|---|---|
| Classification | 11581 | 26103 | 18025.0 |
Dataset Fields
| Field | Description |
|---|---|
| example_id | Unique identifier for each example |
| metadata | JSON string containing: |
- target_pattern: The pattern that was corrupted during training |
|
- degraded_accuracy: Accuracy of the model trained on corrupted data |
|
- improved_accuracy: Accuracy of the model after training on clean data |
|
- improvement: Delta between degraded and improved accuracy |
|
- model_config: Subject model architecture and hyperparameters |
|
- corruption_stats: Details about label corruption |
|
- selected_patterns: All patterns in the subject model's training dataset |
|
- precision: Model weight precision |
|
- quantization: Quantization type applied to weights |
|
- config_signature: Hash of critical config fields for validation |
|
| classification_prompt | Input prompt with improved model weights and signature |
| classification_completion | Target completion identifying the pattern |
| classification_text | Full concatenated text (prompt + completion) |
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Size of downloaded dataset files:
687 MB
Size of the auto-converted Parquet files:
687 MB
Number of rows:
10,000
Models trained or fine-tuned on maximuspowers/muat-pca-10-medium