maximuspowers/muat-mean-std-fourier-5-pca-10-medium-classifier
Updated
•
4
Datasets:
example_id
int64 0
10k
| metadata
stringlengths 679
724
| classification_prompt
stringlengths 15.4k
41k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 15.4k
41k
| improved_signature
stringlengths 15.4k
40.3k
| improved_model_weights
stringlengths 3.98k
13.3k
| training_metrics
stringlengths 1.45k
2.92k
|
|---|---|---|---|---|---|---|---|
0
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "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: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.351351,
0.65015,
0.030437,
-0.296337,
-0.203767
],
[
0.553481,
-0.068788,
0.114278,
-0.362374,
0.17452
],
[
-0.277558,
-0.373766,
0.135034,
0.392323,
-0.061903
],
[
0.253998,
-0.009508,
0.131618,
-0.326816,
-0.267581
],
[
-0.301073,
-0.380585,
0.032979,
0.240675,
0.722862
],
[
-0.694875,
0.04328,
0.264462,
0.427503,
0.017317
],
[
0.343852,
0.215469,
0.032813,
-0.296789,
-0.126948
],
[
0.024106,
-0.396474,
0.253528,
-0.326768,
-0.385427
],
[
0.002012,
-0.467075,
0.371351,
-0.141534,
0.220762
]
],
"network.0.bias": [
0.266989,
-0.450677,
0.054623,
0.06183,
0.233149,
-0.020589,
-0.027051,
0.492546,
-0.374197
],
"network.2.weight": [
[
0.024714,
0.172446,
0.229763,
-0.150778,
-0.525687,
0.256258,
-0.146938,
0.605522,
0.024514
],
[
-0.096171,
-0.044245,
-0.051618,
-0.003471,
-0.00481,
-0.063969,
0.071235,
-0.183453,
-0.329744
],
[
-0.066958,
-0.156981,
-0.062265,
0.389051,
0.06732,
-0.342615,
-0.273841,
0.583601,
-0.14224
],
[
-0.015877,
-0.04868,
-0.053102,
0.160069,
0.506952,
-0.007898,
0.213095,
-0.109828,
0.097844
],
[
-0.362745,
0.11009,
0.28978,
-0.48439,
0.701102,
0.075198,
-0.244772,
-0.063976,
0.15767
],
[
0.397354,
0.532718,
-0.210769,
0.133397,
-0.325914,
-0.17417,
0.304825,
-0.199804,
-0.275617
],
[
-0.380037,
-0.308058,
0.036072,
0.209331,
-0.267921,
-0.150304,
-0.010003,
0.212209,
-0.372925
],
[
-0.145184,
0.18529,
0.200121,
0.078732,
-0.024027,
-0.218374,
0.24706,
0.524138,
0.096681
],
[
-0.226617,
0.157732,
0.1805,
-0.06395,
-0.403953,
-0.159639,
-0.033712,
0.085972,
-0.078221
]
],
"network.2.bias": [
0.15881,
-0.178707,
0.437995,
-0.058094,
-0.018605,
-0.168662,
-0.025054,
0.393036,
-0.278631
],
"network.4.weight": [
[
0.461006,
-0.249031,
0.610533,
-0.15356,
-0.508263,
-0.594579,
0.107291,
0.528408,
0.329629
],
[
0.39626,
0.089804,
0.430857,
0.116349,
-0.425463,
-0.02152,
-0.111827,
0.204905,
0.060626
],
[
-0.045805,
-0.065904,
-0.224397,
0.299659,
0.707768,
0.726835,
-0.205133,
-0.040162,
0.297063
],
[
-0.089821,
0.011428,
-0.23127,
0.469395,
0.537442,
0.709006,
-0.061021,
0.121898,
0.184546
],
[
-0.267507,
-0.221275,
-0.141403,
0.39657,
0.201884,
-0.316367,
-0.161186,
-0.14378,
0.055799
],
[
-0.242634,
-0.093429,
0.115641,
0.248095,
-0.314688,
-0.258446,
-0.229362,
-0.417405,
-0.064899
],
[
0.323397,
-0.029592,
0.114503,
-0.00386,
-0.265294,
-0.252652,
-0.094853,
-0.006499,
0.201816
],
[
-0.240708,
-0.083345,
-0.288838,
-0.027356,
-0.43854,
0.541324,
-0.25,
-0.174375,
0.29436
],
[
0.186077,
-0.325897,
-0.246531,
0.259486,
0.196589,
0.515989,
-0.21429,
0.349897,
0.067323
]
],
"network.4.bias": [
0.402382,
0.302413,
0.171669,
0.2579,
-0.152584,
-0.265696,
0.107815,
0.2408,
-0.163346
],
"network.6.weight": [
[
-0.138858,
-0.174059,
0.238052,
0.513344,
0.549781,
-0.172288,
-0.201211,
0.52278,
0.53564
],
[
0.590895,
0.572901,
-0.421441,
-0.237329,
0.064627,
-0.117378,
0.126247,
-0.388485,
0.005056
],
[
-0.030589,
0.164253,
0.652372,
0.656388,
0.520163,
0.326098,
-0.086384,
0.295054,
0.228358
],
[
0.543558,
0.651971,
-0.105645,
-0.257541,
-0.06215,
0.125453,
0.557917,
-0.46406,
0.123848
],
[
0.056922,
-0.248943,
-0.086972,
0.208959,
0.376151,
-0.012953,
-0.052874,
-0.146131,
0.420291
],
[
0.253637,
-0.225438,
-0.305601,
-0.352953,
-0.114963,
-0.172452,
0.128137,
-0.085287,
0.282899
],
[
-0.484998,
-0.19176,
0.559427,
0.491113,
0.019356,
-0.116498,
-0.198382,
0.406966,
0.614636
],
[
-0.353918,
-0.301709,
-0.169907,
-0.00997,
-0.09371,
-0.091874,
0.270758,
-0.430528,
-0.143323
],
[
0.228586,
-0.328377,
-0.091966,
-0.140868,
-0.116157,
-0.076095,
-0.270074,
-0.01745,
0.08378
]
],
"network.6.bias": [
0.215996,
0.449268,
-0.052373,
0.486237,
0.073618,
-0.292908,
0.370059,
-0.075627,
-0.297899
],
"network.8.weight": [
[
-0.154035,
-0.308865,
0.07001,
0.006151,
0.108173,
-0.242242,
-0.240089,
0.129418,
-0.238752
],
[
-0.346629,
0.113345,
-0.063051,
-0.066058,
-0.220473,
0.196471,
0.084546,
0.00737,
-0.296294
],
[
-0.023141,
0.061873,
-0.071299,
-0.081145,
0.022219,
0.090254,
-0.287199,
0.311656,
0.163199
],
[
-0.128364,
0.740093,
0.121219,
0.700858,
0.205776,
0.206164,
-0.395395,
-0.242258,
-0.123745
],
[
-0.020556,
-0.151783,
-0.177416,
-0.049596,
-0.046958,
-0.201075,
-0.238224,
-0.254453,
0.315946
],
[
-0.007795,
-0.204717,
-0.384003,
0.058957,
-0.147864,
-0.129417,
-0.047887,
-0.07396,
0.331285
],
[
0.404002,
-0.429743,
0.419335,
-0.110686,
0.403148,
-0.024283,
0.728798,
-0.033614,
0.043105
],
[
-0.178551,
0.1498,
0.317919,
-0.210357,
0.068265,
0.033795,
-0.286174,
0.007448,
0.314172
],
[
0.496839,
-0.33797,
0.548411,
0.19428,
-0.088831,
0.017236,
0.355977,
-0.101831,
-0.117104
]
],
"network.8.bias": [
-0.206294,
-0.387052,
-0.054639,
0.214421,
-0.056558,
-0.33177,
0.407412,
-0.09181,
-0.148356
],
"network.10.weight": [
[
-0.044338,
0.126081,
0.028225,
-0.478988,
-0.01009,
0.114821,
0.584789,
0.23083,
0.104034
],
[
-0.217829,
-0.184507,
0.276635,
-0.224134,
-0.121899,
0.012652,
0.559441,
-0.076662,
0.466803
],
[
0.024641,
-0.302963,
0.073068,
-0.237897,
0.09978,
-0.057571,
-0.130557,
-0.027634,
-0.299332
],
[
0.025022,
-0.305568,
-0.089909,
0.507211,
-0.091687,
-0.107644,
-0.470485,
0.187061,
-0.231328
],
[
-0.005823,
-0.286795,
-0.09071,
0.734235,
0.041071,
0.364039,
-0.418494,
0.280057,
-0.319102
],
[
0.314758,
0.180536,
-0.22169,
-0.223763,
-0.210111,
-0.098988,
0.553058,
-0.270213,
0.552368
],
[
-0.009057,
0.006774,
0.068359,
-0.39352,
-0.107944,
-0.047078,
0.306752,
-0.104029,
0.110258
],
[
0.034871,
-0.069107,
-0.154019,
-0.238182,
-0.089062,
0.305596,
-0.024976,
-0.066574,
-0.164562
],
[
0.322837,
-0.108019,
-0.05342,
0.200232,
0.171619,
-0.16846,
-0.334081,
0.114843,
0.18634
]
],
"network.10.bias": [
0.469087,
0.294132,
-0.001016,
0.433083,
0.521594,
0.021834,
0.369086,
-0.124999,
-0.204077
],
"network.12.weight": [
[
0.181913,
-0.326165,
-0.09951,
0.360258,
0.315726,
-0.018808,
0.044564,
0.074073,
0.254235
],
[
-0.169158,
-0.245406,
0.219867,
0.295,
-0.293048,
0.30323,
0.103933,
0.201807,
-0.047995
],
[
0.043528,
-0.138825,
-0.005379,
0.398977,
0.463764,
-0.046078,
-0.187824,
-0.082171,
0.377526
],
[
0.549625,
0.654399,
0.014229,
-0.130884,
-0.496715,
0.155832,
0.41716,
0.088533,
-0.207405
],
[
0.642252,
0.660095,
0.120773,
-0.494823,
-0.206207,
0.459773,
0.341263,
0.00682,
0.084665
],
[
-0.342322,
0.060889,
-0.094015,
0.060808,
-0.295723,
-0.08627,
0.196437,
0.330935,
0.268282
],
[
-0.028596,
0.527727,
0.072136,
-0.055321,
-0.054295,
0.416001,
0.310095,
-0.132043,
0.078763
],
[
-0.603254,
-0.073052,
0.008673,
0.303437,
0.145528,
0.09922,
-0.062108,
0.133554,
0.226028
],
[
0.136285,
-0.434429,
0.280231,
-0.330722,
-0.193436,
0.112432,
-0.19007,
0.324661,
0.272014
]
],
"network.12.bias": [
-0.109146,
-0.188102,
0.138261,
0.445623,
0.43511,
-0.398729,
0.105758,
0.458176,
-0.399113
],
"network.14.weight": [
[
-0.15733,
-0.177037,
-0.256668,
-0.195051,
-0.054199,
0.321353,
0.060609,
-0.123184,
0.236127
],
[
-0.145086,
-0.280532,
-0.232844,
-0.038648,
-0.012193,
0.146273,
-0.023815,
-0.025928,
-0.135986
],
[
-0.24745,
-0.169679,
-0.450586,
0.627283,
0.556973,
0.024105,
0.308259,
-0.097901,
0.143424
],
[
0.239374,
0.18012,
-0.041402,
-0.030519,
-0.461993,
-0.188303,
-0.08635,
0.013968,
-0.284836
],
[
-0.241054,
-0.196256,
-0.37545,
0.48433,
0.569333,
0.296627,
0.359077,
-0.233964,
-0.027577
],
[
-0.1895,
-0.190557,
-0.385934,
0.550508,
0.293027,
-0.139412,
0.504809,
-0.109041,
-0.06818
],
[
0.273489,
0.218777,
0.216668,
-0.216251,
-0.028361,
0.033408,
-0.076288,
0.395411,
0.212185
],
[
-0.193663,
-0.31585,
-0.284591,
0.078932,
-0.235651,
-0.006732,
-0.014834,
-0.323138,
0.300077
],
[
0.035069,
0.012961,
0.588285,
-0.135153,
-0.220161,
0.120169,
0.182096,
0.349012,
0.264082
]
],
"network.14.bias": [
0.00914,
-0.024327,
0.041279,
0.470771,
0.111266,
0.163954,
0.316813,
-0.101017,
0.430642
],
"network.16.weight": [
[
-0.170913,
0.257182,
-0.508355,
0.397909,
-0.549109,
-0.422731,
0.38328,
-0.085465,
0.524464
]
],
"network.16.bias": [
0.061126
]
}
## Activation Signature
### 0
mean: [1.065730, -0.210383, 0.075173, -0.395331, 0.641504, 0.684088, 0.069012, -0.846424, -0.478335]
std: [1.619070, 1.511137, 1.136184, 1.053226, 1.698319, 1.649104, 1.081067, 1.375427, 1.223335]
pca: [[-0.429161, -0.350908, -0.168307, 0.496327, -0.020954, -0.526509, -0.176563, 0.085529, 0.319180, 0.000000], [-0.368407, 0.378945, -0.342868, 0.161522, 0.357505, 0.018173, 0.385570, -0.538802, -0.099586, 0.000000], [0.320899, 0.050772, 0.222935, 0.034053, 0.819492, -0.157100, 0.053525, 0.201863, 0.322063, 0.000000], [-0.290732, 0.138325, 0.252490, 0.110694, -0.026798, 0.601457, -0.299141, -0.151603, 0.587707, 0.000000], [0.400976, 0.393894, -0.500719, 0.035367, -0.317089, -0.099396, 0.167428, 0.141482, 0.523088, 0.000000], [0.447852, -0.239941, 0.182165, 0.709660, -0.120489, 0.224786, 0.275104, -0.236918, -0.090531, 0.000000], [-0.333109, -0.008093, -0.050888, 0.148182, 0.024512, 0.333392, 0.505744, 0.701359, -0.070658, 0.000000], [-0.140301, 0.389388, 0.673905, -0.003952, -0.285893, -0.404908, 0.338150, -0.042431, 0.112686, 0.000000], [0.024414, 0.589186, 0.004651, 0.432800, 0.045457, -0.022763, -0.503958, 0.262283, -0.373598, 0.000000]]
fourier: [[25.435800, 25.696612, 25.848890, 26.348175, 95.915715], [22.656495, 24.454227, 24.846846, 26.407656, 32.228302], [15.358389, 16.571066, 17.270536, 17.521186, 21.419106], [16.329491, 16.564958, 16.942474, 19.345581, 35.579767], [23.564643, 26.397942, 27.967785, 29.259403, 57.735335], [25.385511, 26.628731, 29.182143, 32.890338, 61.567895], [14.985357, 15.101741, 15.514412, 16.971062, 20.813987], [19.685805, 20.666951, 22.684204, 25.896274, 76.178135], [21.390821, 23.889252, 24.597551, 29.887768, 43.050177]]
### 2
mean: [0.147857, -0.503939, -0.010917, 0.505852, 0.314704, 0.029980, -1.067190, 0.389489, -0.999223]
std: [0.691040, 0.267758, 0.477884, 0.644747, 1.579194, 1.579854, 0.768337, 0.467515, 0.514420]
pca: [[-0.118576, 0.406195, -0.437139, 0.540707, -0.063592, 0.258376, 0.466382, 0.162652, 0.150734, 0.000000], [-0.002750, 0.073520, 0.062093, -0.432991, 0.258652, 0.335834, 0.339197, -0.476191, 0.530804, 0.000000], [0.007369, 0.185057, 0.637500, 0.027878, -0.464109, -0.334627, 0.428478, 0.111992, 0.187103, 0.000000], [0.167209, -0.411471, 0.171457, 0.035013, -0.164620, 0.563115, -0.114973, 0.541078, 0.349181, 0.000000], [0.694800, -0.215934, 0.066279, 0.149168, 0.453222, -0.132275, 0.422998, 0.078321, -0.189768, 0.000000], [-0.675536, -0.372868, 0.145061, -0.049030, 0.352711, 0.004386, 0.390804, 0.220250, -0.235609, 0.000000], [0.072151, 0.575276, 0.263857, -0.326454, 0.124131, 0.427495, -0.010339, 0.250564, -0.476036, 0.000000], [-0.068093, -0.050344, 0.482553, 0.600214, 0.102222, 0.334521, -0.178467, -0.476672, -0.135260, 0.000000], [-0.094761, 0.326972, 0.203314, 0.163303, 0.575226, -0.281445, -0.327122, 0.311186, 0.449626, 0.000000]]
fourier: [[11.362213, 11.385280, 12.184518, 13.307116, 14.315665], [4.376656, 4.467084, 4.619607, 5.847919, 45.354468], [6.983676, 7.586618, 8.047911, 8.141758, 8.578270], [9.436941, 9.876807, 13.443171, 13.658195, 45.526724], [23.547399, 23.698499, 23.778147, 26.453410, 28.323384], [21.803467, 23.491112, 24.044354, 26.396159, 31.587253], [13.102919, 13.625297, 14.751260, 15.732391, 96.047073], [7.470325, 7.994971, 8.030592, 9.993554, 35.053981], [7.792617, 8.085764, 10.268370, 11.693503, 89.930103]]
### 4
mean: [0.086730, 0.340405, 1.223317, 1.310771, -0.171867, -0.773188, -0.113930, 0.010640, 0.599481]
std: [1.003235, 0.546253, 1.113005, 1.091953, 0.675118, 0.334435, 0.427934, 0.886246, 0.679446]
pca: [[-0.476828, 0.048679, 0.541025, 0.309753, -0.298002, -0.093317, -0.306302, -0.370844, -0.229676, 0.000000], [-0.187562, 0.303418, 0.332523, 0.327409, 0.442963, -0.249541, 0.124856, 0.615555, 0.044794, 0.000000], [0.545936, -0.047746, 0.176860, -0.127680, 0.282414, -0.365464, -0.290056, -0.087430, -0.589062, 0.000000], [0.533739, 0.037708, 0.251837, 0.367855, -0.028616, -0.096142, -0.176951, -0.217655, 0.652851, 0.000000], [0.094580, -0.548442, -0.102698, 0.490465, -0.045660, 0.411940, -0.310512, 0.370024, -0.184523, 0.000000], [-0.110867, -0.121463, -0.391985, 0.534423, 0.373883, -0.205400, 0.351691, -0.461011, -0.124496, 0.000000], [-0.207548, 0.004787, 0.084363, -0.223313, 0.691090, 0.430915, -0.381140, -0.250070, 0.169764, 0.000000], [0.074494, 0.725287, -0.444303, 0.240409, -0.122152, 0.162109, -0.387430, 0.020207, -0.146620, 0.000000], [0.290980, 0.245482, 0.365100, 0.106811, 0.001322, 0.601966, 0.509581, -0.127109, -0.268643, 0.000000]]
fourier: [[12.968734, 15.361090, 16.830740, 18.049338, 19.580369], [8.940234, 8.982939, 9.791950, 11.604292, 30.636427], [14.515522, 18.460285, 22.562967, 24.778700, 110.098515], [15.138650, 18.215365, 23.086719, 25.123648, 117.969342], [9.855511, 9.871662, 11.249036, 13.842084, 15.468046], [5.690640, 6.131489, 6.253871, 6.567720, 69.586956], [6.538617, 7.408816, 8.562890, 9.333608, 10.253692], [13.048477, 13.124194, 13.190983, 13.826046, 15.818363], [11.256102, 12.199369, 13.618310, 15.650382, 53.953288]]
### 6
mean: [1.615630, 0.035314, 1.985068, 0.520797, 0.427068, -0.977765, 1.887907, -0.799150, -0.643458]
std: [1.581508, 1.275089, 1.795411, 1.023166, 0.474590, 0.691730, 1.951170, 0.449398, 0.244172]
pca: [[0.443119, 0.215716, -0.130520, -0.142892, 0.155113, 0.591494, 0.268095, 0.509470, -0.119576, 0.000000], [-0.348326, 0.480367, 0.056444, 0.019316, 0.189772, 0.301883, -0.573102, 0.111330, 0.419965, 0.000000], [0.498561, 0.387954, 0.432477, -0.212111, 0.030043, -0.401072, 0.152406, -0.071029, 0.422927, 0.000000], [-0.266207, 0.607103, 0.110611, 0.381602, -0.359645, -0.179195, 0.253489, 0.208195, -0.365578, 0.000000], [0.124539, 0.084030, 0.448874, 0.321026, 0.464481, 0.285742, -0.008249, -0.493061, -0.363752, 0.000000], [-0.191725, 0.045013, -0.308763, 0.352774, 0.201482, 0.119461, 0.602894, -0.227498, 0.520892, 0.000000], [0.547721, -0.001533, -0.331327, 0.630845, -0.184812, -0.067259, -0.379806, -0.027764, 0.092479, 0.000000], [-0.078872, -0.435634, 0.605856, 0.360862, -0.187562, 0.163989, 0.057153, 0.409744, 0.271092, 0.000000], [-0.066313, -0.069031, -0.082736, 0.181393, 0.695706, -0.488565, -0.033568, 0.464899, -0.105492, 0.000000]]
fourier: [[23.580347, 23.984828, 31.430212, 37.111953, 145.406688], [17.664843, 19.372566, 19.667868, 22.249380, 26.141538], [24.579053, 28.840875, 36.941473, 41.819425, 178.656138], [14.959871, 16.099561, 16.780795, 19.160401, 46.871702], [6.780335, 8.788846, 9.981958, 9.982402, 38.436093], [9.063912, 11.759513, 13.972861, 15.174435, 87.998818], [29.260962, 30.064907, 37.998034, 44.580343, 169.911603], [7.142587, 7.407355, 8.313252, 9.197104, 71.923447], [3.200526, 3.956523, 5.123035, 5.720076, 57.911246]]
### 8
mean: [-0.908647, -0.991223, -0.812386, 0.451672, -1.049454, -1.335941, 3.196739, -0.351044, 2.364496]
std: [0.394289, 0.613744, 0.669058, 1.663092, 0.712047, 0.794256, 3.210242, 0.191243, 2.432067]
pca: [[-0.075454, -0.222969, 0.543838, 0.206543, 0.663833, 0.239441, -0.013645, -0.308998, -0.111801, 0.000000], [-0.134729, -0.073313, -0.220886, -0.207910, 0.031438, 0.832408, 0.286275, 0.152238, 0.292292, 0.000000], [-0.146853, -0.083481, 0.232517, 0.095611, -0.194103, -0.256748, 0.881583, -0.125020, 0.108836, 0.000000], [-0.334802, 0.867541, 0.088274, -0.017064, 0.295055, -0.049496, 0.070202, 0.166163, 0.071767, 0.000000], [-0.151821, -0.234530, 0.114737, 0.256102, 0.110116, -0.229295, -0.192663, 0.364597, 0.780027, 0.000000], [-0.169512, -0.250074, -0.341894, 0.217462, 0.360896, -0.120805, 0.199247, 0.600131, -0.447047, 0.000000], [0.709108, 0.052058, 0.132472, -0.470343, 0.334397, -0.135677, 0.195756, 0.267487, 0.124842, 0.000000], [-0.035143, -0.000556, 0.664401, -0.031226, -0.413500, 0.205213, -0.104764, 0.521576, -0.245455, 0.000000], [0.535391, 0.255072, -0.067518, 0.754722, -0.091813, 0.231742, 0.098129, 0.037735, 0.030719, 0.000000]]
fourier: [[6.851152, 6.873871, 6.906111, 9.541782, 81.778247], [8.507221, 9.951021, 12.594776, 14.046262, 89.210060], [10.026936, 10.493714, 13.150891, 15.658083, 73.114759], [23.439632, 26.899689, 28.038429, 30.470379, 40.650460], [10.833889, 10.882839, 14.082929, 17.058721, 94.450893], [11.252808, 12.666574, 16.099175, 18.794106, 120.234657], [48.190889, 50.487383, 63.426582, 73.314564, 287.706474], [3.264054, 3.380601, 3.806949, 3.926348, 31.593976], [35.970830, 37.585247, 48.804462, 56.456957, 212.804672]]
### 10
mean: [2.214637, 3.063399, -1.370775, -1.216759, -0.961993, 2.976886, 1.289715, -0.821262, -0.674866]
std: [2.516478, 3.043468, 0.935768, 2.492844, 2.775288, 3.226215, 1.596852, 0.343207, 0.793644]
pca: [[0.380439, 0.180109, -0.436720, -0.210484, 0.006160, 0.210598, 0.701531, -0.215131, 0.070584, 0.000000], [0.459548, -0.314891, -0.040507, 0.224353, -0.163723, -0.012375, -0.319134, -0.469508, 0.537068, 0.000000], [-0.131584, 0.522947, -0.012999, 0.546328, 0.524083, -0.102181, 0.068778, -0.050987, 0.343708, 0.000000], [-0.376756, -0.200877, -0.017726, -0.526880, 0.199774, -0.073547, 0.088935, 0.163286, 0.678156, 0.000000], [-0.417690, -0.442677, -0.498403, 0.286897, 0.195220, 0.478291, -0.053031, -0.117870, -0.123607, 0.000000], [0.486942, -0.361762, 0.111795, 0.181558, 0.342958, 0.144845, 0.103585, 0.659361, 0.049681, 0.000000], [0.240603, 0.227892, 0.009089, -0.455620, 0.525147, 0.348108, -0.471806, -0.192075, -0.161400, 0.000000], [-0.034539, 0.387303, 0.014401, 0.057919, -0.467728, 0.636636, -0.170128, 0.327835, 0.291113, 0.000000], [-0.119007, -0.160644, 0.738890, 0.055391, 0.091125, 0.404250, 0.358164, -0.333167, -0.001105, 0.000000]]
fourier: [[39.005160, 39.267959, 48.523955, 54.997179, 199.317312], [46.778408, 47.552478, 59.709674, 69.538586, 275.705930], [14.553645, 14.614996, 18.045722, 22.569419, 123.369754], [38.578484, 38.879186, 48.057858, 54.259814, 109.508342], [43.051353, 43.094557, 52.918394, 58.784355, 86.579389], [49.550404, 50.393018, 63.341524, 73.828386, 267.919703], [24.807311, 24.813211, 30.503870, 34.064701, 116.074352], [5.458929, 5.851914, 6.877306, 7.533705, 73.913555], [12.268075, 12.512132, 14.922614, 16.686022, 60.737959]]
### 12
mean: [-0.244278, -0.341418, -0.033436, 4.494102, 5.618846, -1.181978, 3.392174, -0.740138, -1.650074]
std: [1.136338, 0.057735, 1.489866, 4.718887, 5.703643, 0.455908, 3.256531, 1.694475, 0.676613]
pca: [[-0.125012, 0.450372, 0.613662, 0.120916, 0.134263, -0.039032, -0.227506, -0.564539, 0.017907, 0.000000], [0.004920, -0.038597, -0.009540, 0.618282, 0.631520, -0.287762, -0.029937, 0.279789, 0.235204, 0.000000], [-0.163016, 0.613530, 0.216306, -0.218109, 0.106681, 0.167310, 0.244147, 0.625921, -0.109030, 0.000000], [0.557565, -0.081984, 0.257720, 0.388670, -0.045495, 0.328819, 0.441300, -0.049464, -0.396905, 0.000000], [0.673869, 0.126639, 0.074933, -0.378939, 0.119670, -0.114622, 0.085220, -0.027225, 0.587529, 0.000000], [-0.047271, -0.238181, 0.075353, -0.095407, 0.343340, 0.808528, -0.348007, 0.053486, 0.175172, 0.000000], [0.383193, 0.326003, -0.402517, -0.090920, 0.252046, -0.063344, -0.497752, -0.033061, -0.510108, 0.000000], [-0.198558, 0.236369, -0.485778, -0.067731, 0.364442, 0.188904, 0.537313, -0.451072, 0.058845, 0.000000], [-0.065563, -0.421448, 0.317532, -0.488795, 0.491078, -0.270189, 0.167805, -0.025054, -0.367954, 0.000000]]
fourier: [[16.123590, 18.835178, 19.956663, 20.581589, 21.985024], [0.844088, 0.854843, 0.901380, 1.056598, 30.727647], [20.913278, 21.041484, 24.885240, 25.833932, 26.605183], [72.483764, 74.102885, 91.976943, 104.815572, 404.469166], [87.656090, 89.456750, 111.581683, 128.733234, 505.696165], [7.274155, 7.522285, 8.067411, 11.127440, 106.378012], [50.145047, 50.799140, 63.707623, 75.275311, 305.295675], [25.587139, 27.095952, 32.565657, 35.717420, 66.612407], [11.326793, 11.344846, 11.495809, 16.049971, 148.506654]]
### 14
mean: [-1.303265, -0.570733, 6.958366, -2.608378, 6.582455, 5.893364, -0.746867, -1.536656, -0.372815]
std: [0.736508, 0.274253, 7.218427, 2.998013, 6.832837, 6.020937, 1.844089, 0.740438, 1.863553]
pca: [[-0.051859, 0.393009, 0.619195, 0.003569, 0.273676, -0.113487, 0.602888, 0.083195, 0.035576, 0.000000], [-0.005502, 0.283644, 0.299057, 0.383132, 0.276829, 0.256087, -0.514007, -0.496526, 0.174169, 0.000000], [0.587039, -0.043460, -0.129224, 0.444218, -0.104943, 0.542140, 0.336884, 0.129150, 0.066093, 0.000000], [-0.243561, 0.146612, -0.260472, 0.508904, -0.362797, -0.426563, 0.232703, -0.188361, 0.434908, 0.000000], [0.555689, -0.014989, 0.005548, -0.358685, 0.166172, -0.286537, -0.115712, 0.008944, 0.662656, 0.000000], [0.489651, -0.040543, 0.279189, 0.263196, -0.221012, -0.541444, -0.188139, -0.034301, -0.482493, 0.000000], [-0.147118, -0.382465, 0.018990, 0.445823, 0.535217, -0.180182, -0.142142, 0.530414, 0.111770, 0.000000], [-0.043364, 0.548727, 0.084308, 0.006854, -0.351108, 0.098185, -0.365200, 0.641488, 0.109853, 0.000000], [-0.145846, -0.540793, 0.597639, -0.012323, -0.468656, 0.168219, -0.048165, 0.016689, 0.280023, 0.000000]]
fourier: [[12.117885, 12.155868, 12.563366, 17.574770, 117.293833], [4.059876, 4.907930, 5.431947, 5.560186, 51.366001], [110.153184, 113.985115, 141.149843, 162.451906, 626.252936], [45.812263, 47.196210, 58.658505, 68.488221, 234.754030], [104.209136, 107.968581, 133.697811, 153.604978, 592.420925], [91.942132, 95.024486, 117.789849, 135.519744, 530.402801], [27.194271, 30.098155, 35.497011, 37.614573, 67.218055], [11.565126, 12.965777, 13.735451, 16.631334, 138.299084], [26.796970, 30.993378, 33.553360, 35.090490, 36.063256]]
### 16
mean: [-9.510258]
std: [10.044217]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[152.483059, 159.673215, 196.655390, 225.912867, 855.923064]]
## 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.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 8
Neurons per Layer: 9
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.351351,
0.65015,
0.030437,
-0.296337,
-0.203767
],
[
0.553481,
-0.068788,
0.114278,
-0.362374,
0.17452
],
[
-0.277558,
-0.373766,
0.135034,
0.392323,
-0.061903
],
[
0.253998,
-0.009508,
0.131618,
-0.326816,
-0.267581
],
[
-0.301073,
-0.380585,
0.032979,
0.240675,
0.722862
],
[
-0.694875,
0.04328,
0.264462,
0.427503,
0.017317
],
[
0.343852,
0.215469,
0.032813,
-0.296789,
-0.126948
],
[
0.024106,
-0.396474,
0.253528,
-0.326768,
-0.385427
],
[
0.002012,
-0.467075,
0.371351,
-0.141534,
0.220762
]
],
"network.0.bias": [
0.266989,
-0.450677,
0.054623,
0.06183,
0.233149,
-0.020589,
-0.027051,
0.492546,
-0.374197
],
"network.2.weight": [
[
0.024714,
0.172446,
0.229763,
-0.150778,
-0.525687,
0.256258,
-0.146938,
0.605522,
0.024514
],
[
-0.096171,
-0.044245,
-0.051618,
-0.003471,
-0.00481,
-0.063969,
0.071235,
-0.183453,
-0.329744
],
[
-0.066958,
-0.156981,
-0.062265,
0.389051,
0.06732,
-0.342615,
-0.273841,
0.583601,
-0.14224
],
[
-0.015877,
-0.04868,
-0.053102,
0.160069,
0.506952,
-0.007898,
0.213095,
-0.109828,
0.097844
],
[
-0.362745,
0.11009,
0.28978,
-0.48439,
0.701102,
0.075198,
-0.244772,
-0.063976,
0.15767
],
[
0.397354,
0.532718,
-0.210769,
0.133397,
-0.325914,
-0.17417,
0.304825,
-0.199804,
-0.275617
],
[
-0.380037,
-0.308058,
0.036072,
0.209331,
-0.267921,
-0.150304,
-0.010003,
0.212209,
-0.372925
],
[
-0.145184,
0.18529,
0.200121,
0.078732,
-0.024027,
-0.218374,
0.24706,
0.524138,
0.096681
],
[
-0.226617,
0.157732,
0.1805,
-0.06395,
-0.403953,
-0.159639,
-0.033712,
0.085972,
-0.078221
]
],
"network.2.bias": [
0.15881,
-0.178707,
0.437995,
-0.058094,
-0.018605,
-0.168662,
-0.025054,
0.393036,
-0.278631
],
"network.4.weight": [
[
0.461006,
-0.249031,
0.610533,
-0.15356,
-0.508263,
-0.594579,
0.107291,
0.528408,
0.329629
],
[
0.39626,
0.089804,
0.430857,
0.116349,
-0.425463,
-0.02152,
-0.111827,
0.204905,
0.060626
],
[
-0.045805,
-0.065904,
-0.224397,
0.299659,
0.707768,
0.726835,
-0.205133,
-0.040162,
0.297063
],
[
-0.089821,
0.011428,
-0.23127,
0.469395,
0.537442,
0.709006,
-0.061021,
0.121898,
0.184546
],
[
-0.267507,
-0.221275,
-0.141403,
0.39657,
0.201884,
-0.316367,
-0.161186,
-0.14378,
0.055799
],
[
-0.242634,
-0.093429,
0.115641,
0.248095,
-0.314688,
-0.258446,
-0.229362,
-0.417405,
-0.064899
],
[
0.323397,
-0.029592,
0.114503,
-0.00386,
-0.265294,
-0.252652,
-0.094853,
-0.006499,
0.201816
],
[
-0.240708,
-0.083345,
-0.288838,
-0.027356,
-0.43854,
0.541324,
-0.25,
-0.174375,
0.29436
],
[
0.186077,
-0.325897,
-0.246531,
0.259486,
0.196589,
0.515989,
-0.21429,
0.349897,
0.067323
]
],
"network.4.bias": [
0.402382,
0.302413,
0.171669,
0.2579,
-0.152584,
-0.265696,
0.107815,
0.2408,
-0.163346
],
"network.6.weight": [
[
-0.138858,
-0.174059,
0.238052,
0.513344,
0.549781,
-0.172288,
-0.201211,
0.52278,
0.53564
],
[
0.590895,
0.572901,
-0.421441,
-0.237329,
0.064627,
-0.117378,
0.126247,
-0.388485,
0.005056
],
[
-0.030589,
0.164253,
0.652372,
0.656388,
0.520163,
0.326098,
-0.086384,
0.295054,
0.228358
],
[
0.543558,
0.651971,
-0.105645,
-0.257541,
-0.06215,
0.125453,
0.557917,
-0.46406,
0.123848
],
[
0.056922,
-0.248943,
-0.086972,
0.208959,
0.376151,
-0.012953,
-0.052874,
-0.146131,
0.420291
],
[
0.253637,
-0.225438,
-0.305601,
-0.352953,
-0.114963,
-0.172452,
0.128137,
-0.085287,
0.282899
],
[
-0.484998,
-0.19176,
0.559427,
0.491113,
0.019356,
-0.116498,
-0.198382,
0.406966,
0.614636
],
[
-0.353918,
-0.301709,
-0.169907,
-0.00997,
-0.09371,
-0.091874,
0.270758,
-0.430528,
-0.143323
],
[
0.228586,
-0.328377,
-0.091966,
-0.140868,
-0.116157,
-0.076095,
-0.270074,
-0.01745,
0.08378
]
],
"network.6.bias": [
0.215996,
0.449268,
-0.052373,
0.486237,
0.073618,
-0.292908,
0.370059,
-0.075627,
-0.297899
],
"network.8.weight": [
[
-0.154035,
-0.308865,
0.07001,
0.006151,
0.108173,
-0.242242,
-0.240089,
0.129418,
-0.238752
],
[
-0.346629,
0.113345,
-0.063051,
-0.066058,
-0.220473,
0.196471,
0.084546,
0.00737,
-0.296294
],
[
-0.023141,
0.061873,
-0.071299,
-0.081145,
0.022219,
0.090254,
-0.287199,
0.311656,
0.163199
],
[
-0.128364,
0.740093,
0.121219,
0.700858,
0.205776,
0.206164,
-0.395395,
-0.242258,
-0.123745
],
[
-0.020556,
-0.151783,
-0.177416,
-0.049596,
-0.046958,
-0.201075,
-0.238224,
-0.254453,
0.315946
],
[
-0.007795,
-0.204717,
-0.384003,
0.058957,
-0.147864,
-0.129417,
-0.047887,
-0.07396,
0.331285
],
[
0.404002,
-0.429743,
0.419335,
-0.110686,
0.403148,
-0.024283,
0.728798,
-0.033614,
0.043105
],
[
-0.178551,
0.1498,
0.317919,
-0.210357,
0.068265,
0.033795,
-0.286174,
0.007448,
0.314172
],
[
0.496839,
-0.33797,
0.548411,
0.19428,
-0.088831,
0.017236,
0.355977,
-0.101831,
-0.117104
]
],
"network.8.bias": [
-0.206294,
-0.387052,
-0.054639,
0.214421,
-0.056558,
-0.33177,
0.407412,
-0.09181,
-0.148356
],
"network.10.weight": [
[
-0.044338,
0.126081,
0.028225,
-0.478988,
-0.01009,
0.114821,
0.584789,
0.23083,
0.104034
],
[
-0.217829,
-0.184507,
0.276635,
-0.224134,
-0.121899,
0.012652,
0.559441,
-0.076662,
0.466803
],
[
0.024641,
-0.302963,
0.073068,
-0.237897,
0.09978,
-0.057571,
-0.130557,
-0.027634,
-0.299332
],
[
0.025022,
-0.305568,
-0.089909,
0.507211,
-0.091687,
-0.107644,
-0.470485,
0.187061,
-0.231328
],
[
-0.005823,
-0.286795,
-0.09071,
0.734235,
0.041071,
0.364039,
-0.418494,
0.280057,
-0.319102
],
[
0.314758,
0.180536,
-0.22169,
-0.223763,
-0.210111,
-0.098988,
0.553058,
-0.270213,
0.552368
],
[
-0.009057,
0.006774,
0.068359,
-0.39352,
-0.107944,
-0.047078,
0.306752,
-0.104029,
0.110258
],
[
0.034871,
-0.069107,
-0.154019,
-0.238182,
-0.089062,
0.305596,
-0.024976,
-0.066574,
-0.164562
],
[
0.322837,
-0.108019,
-0.05342,
0.200232,
0.171619,
-0.16846,
-0.334081,
0.114843,
0.18634
]
],
"network.10.bias": [
0.469087,
0.294132,
-0.001016,
0.433083,
0.521594,
0.021834,
0.369086,
-0.124999,
-0.204077
],
"network.12.weight": [
[
0.181913,
-0.326165,
-0.09951,
0.360258,
0.315726,
-0.018808,
0.044564,
0.074073,
0.254235
],
[
-0.169158,
-0.245406,
0.219867,
0.295,
-0.293048,
0.30323,
0.103933,
0.201807,
-0.047995
],
[
0.043528,
-0.138825,
-0.005379,
0.398977,
0.463764,
-0.046078,
-0.187824,
-0.082171,
0.377526
],
[
0.549625,
0.654399,
0.014229,
-0.130884,
-0.496715,
0.155832,
0.41716,
0.088533,
-0.207405
],
[
0.642252,
0.660095,
0.120773,
-0.494823,
-0.206207,
0.459773,
0.341263,
0.00682,
0.084665
],
[
-0.342322,
0.060889,
-0.094015,
0.060808,
-0.295723,
-0.08627,
0.196437,
0.330935,
0.268282
],
[
-0.028596,
0.527727,
0.072136,
-0.055321,
-0.054295,
0.416001,
0.310095,
-0.132043,
0.078763
],
[
-0.603254,
-0.073052,
0.008673,
0.303437,
0.145528,
0.09922,
-0.062108,
0.133554,
0.226028
],
[
0.136285,
-0.434429,
0.280231,
-0.330722,
-0.193436,
0.112432,
-0.19007,
0.324661,
0.272014
]
],
"network.12.bias": [
-0.109146,
-0.188102,
0.138261,
0.445623,
0.43511,
-0.398729,
0.105758,
0.458176,
-0.399113
],
"network.14.weight": [
[
-0.15733,
-0.177037,
-0.256668,
-0.195051,
-0.054199,
0.321353,
0.060609,
-0.123184,
0.236127
],
[
-0.145086,
-0.280532,
-0.232844,
-0.038648,
-0.012193,
0.146273,
-0.023815,
-0.025928,
-0.135986
],
[
-0.24745,
-0.169679,
-0.450586,
0.627283,
0.556973,
0.024105,
0.308259,
-0.097901,
0.143424
],
[
0.239374,
0.18012,
-0.041402,
-0.030519,
-0.461993,
-0.188303,
-0.08635,
0.013968,
-0.284836
],
[
-0.241054,
-0.196256,
-0.37545,
0.48433,
0.569333,
0.296627,
0.359077,
-0.233964,
-0.027577
],
[
-0.1895,
-0.190557,
-0.385934,
0.550508,
0.293027,
-0.139412,
0.504809,
-0.109041,
-0.06818
],
[
0.273489,
0.218777,
0.216668,
-0.216251,
-0.028361,
0.033408,
-0.076288,
0.395411,
0.212185
],
[
-0.193663,
-0.31585,
-0.284591,
0.078932,
-0.235651,
-0.006732,
-0.014834,
-0.323138,
0.300077
],
[
0.035069,
0.012961,
0.588285,
-0.135153,
-0.220161,
0.120169,
0.182096,
0.349012,
0.264082
]
],
"network.14.bias": [
0.00914,
-0.024327,
0.041279,
0.470771,
0.111266,
0.163954,
0.316813,
-0.101017,
0.430642
],
"network.16.weight": [
[
-0.170913,
0.257182,
-0.508355,
0.397909,
-0.549109,
-0.422731,
0.38328,
-0.085465,
0.524464
]
],
"network.16.bias": [
0.061126
]
}
## Activation Signature
### 0
mean: [1.065730, -0.210383, 0.075173, -0.395331, 0.641504, 0.684088, 0.069012, -0.846424, -0.478335]
std: [1.619070, 1.511137, 1.136184, 1.053226, 1.698319, 1.649104, 1.081067, 1.375427, 1.223335]
pca: [[-0.429161, -0.350908, -0.168307, 0.496327, -0.020954, -0.526509, -0.176563, 0.085529, 0.319180, 0.000000], [-0.368407, 0.378945, -0.342868, 0.161522, 0.357505, 0.018173, 0.385570, -0.538802, -0.099586, 0.000000], [0.320899, 0.050772, 0.222935, 0.034053, 0.819492, -0.157100, 0.053525, 0.201863, 0.322063, 0.000000], [-0.290732, 0.138325, 0.252490, 0.110694, -0.026798, 0.601457, -0.299141, -0.151603, 0.587707, 0.000000], [0.400976, 0.393894, -0.500719, 0.035367, -0.317089, -0.099396, 0.167428, 0.141482, 0.523088, 0.000000], [0.447852, -0.239941, 0.182165, 0.709660, -0.120489, 0.224786, 0.275104, -0.236918, -0.090531, 0.000000], [-0.333109, -0.008093, -0.050888, 0.148182, 0.024512, 0.333392, 0.505744, 0.701359, -0.070658, 0.000000], [-0.140301, 0.389388, 0.673905, -0.003952, -0.285893, -0.404908, 0.338150, -0.042431, 0.112686, 0.000000], [0.024414, 0.589186, 0.004651, 0.432800, 0.045457, -0.022763, -0.503958, 0.262283, -0.373598, 0.000000]]
fourier: [[25.435800, 25.696612, 25.848890, 26.348175, 95.915715], [22.656495, 24.454227, 24.846846, 26.407656, 32.228302], [15.358389, 16.571066, 17.270536, 17.521186, 21.419106], [16.329491, 16.564958, 16.942474, 19.345581, 35.579767], [23.564643, 26.397942, 27.967785, 29.259403, 57.735335], [25.385511, 26.628731, 29.182143, 32.890338, 61.567895], [14.985357, 15.101741, 15.514412, 16.971062, 20.813987], [19.685805, 20.666951, 22.684204, 25.896274, 76.178135], [21.390821, 23.889252, 24.597551, 29.887768, 43.050177]]
### 2
mean: [0.147857, -0.503939, -0.010917, 0.505852, 0.314704, 0.029980, -1.067190, 0.389489, -0.999223]
std: [0.691040, 0.267758, 0.477884, 0.644747, 1.579194, 1.579854, 0.768337, 0.467515, 0.514420]
pca: [[-0.118576, 0.406195, -0.437139, 0.540707, -0.063592, 0.258376, 0.466382, 0.162652, 0.150734, 0.000000], [-0.002750, 0.073520, 0.062093, -0.432991, 0.258652, 0.335834, 0.339197, -0.476191, 0.530804, 0.000000], [0.007369, 0.185057, 0.637500, 0.027878, -0.464109, -0.334627, 0.428478, 0.111992, 0.187103, 0.000000], [0.167209, -0.411471, 0.171457, 0.035013, -0.164620, 0.563115, -0.114973, 0.541078, 0.349181, 0.000000], [0.694800, -0.215934, 0.066279, 0.149168, 0.453222, -0.132275, 0.422998, 0.078321, -0.189768, 0.000000], [-0.675536, -0.372868, 0.145061, -0.049030, 0.352711, 0.004386, 0.390804, 0.220250, -0.235609, 0.000000], [0.072151, 0.575276, 0.263857, -0.326454, 0.124131, 0.427495, -0.010339, 0.250564, -0.476036, 0.000000], [-0.068093, -0.050344, 0.482553, 0.600214, 0.102222, 0.334521, -0.178467, -0.476672, -0.135260, 0.000000], [-0.094761, 0.326972, 0.203314, 0.163303, 0.575226, -0.281445, -0.327122, 0.311186, 0.449626, 0.000000]]
fourier: [[11.362213, 11.385280, 12.184518, 13.307116, 14.315665], [4.376656, 4.467084, 4.619607, 5.847919, 45.354468], [6.983676, 7.586618, 8.047911, 8.141758, 8.578270], [9.436941, 9.876807, 13.443171, 13.658195, 45.526724], [23.547399, 23.698499, 23.778147, 26.453410, 28.323384], [21.803467, 23.491112, 24.044354, 26.396159, 31.587253], [13.102919, 13.625297, 14.751260, 15.732391, 96.047073], [7.470325, 7.994971, 8.030592, 9.993554, 35.053981], [7.792617, 8.085764, 10.268370, 11.693503, 89.930103]]
### 4
mean: [0.086730, 0.340405, 1.223317, 1.310771, -0.171867, -0.773188, -0.113930, 0.010640, 0.599481]
std: [1.003235, 0.546253, 1.113005, 1.091953, 0.675118, 0.334435, 0.427934, 0.886246, 0.679446]
pca: [[-0.476828, 0.048679, 0.541025, 0.309753, -0.298002, -0.093317, -0.306302, -0.370844, -0.229676, 0.000000], [-0.187562, 0.303418, 0.332523, 0.327409, 0.442963, -0.249541, 0.124856, 0.615555, 0.044794, 0.000000], [0.545936, -0.047746, 0.176860, -0.127680, 0.282414, -0.365464, -0.290056, -0.087430, -0.589062, 0.000000], [0.533739, 0.037708, 0.251837, 0.367855, -0.028616, -0.096142, -0.176951, -0.217655, 0.652851, 0.000000], [0.094580, -0.548442, -0.102698, 0.490465, -0.045660, 0.411940, -0.310512, 0.370024, -0.184523, 0.000000], [-0.110867, -0.121463, -0.391985, 0.534423, 0.373883, -0.205400, 0.351691, -0.461011, -0.124496, 0.000000], [-0.207548, 0.004787, 0.084363, -0.223313, 0.691090, 0.430915, -0.381140, -0.250070, 0.169764, 0.000000], [0.074494, 0.725287, -0.444303, 0.240409, -0.122152, 0.162109, -0.387430, 0.020207, -0.146620, 0.000000], [0.290980, 0.245482, 0.365100, 0.106811, 0.001322, 0.601966, 0.509581, -0.127109, -0.268643, 0.000000]]
fourier: [[12.968734, 15.361090, 16.830740, 18.049338, 19.580369], [8.940234, 8.982939, 9.791950, 11.604292, 30.636427], [14.515522, 18.460285, 22.562967, 24.778700, 110.098515], [15.138650, 18.215365, 23.086719, 25.123648, 117.969342], [9.855511, 9.871662, 11.249036, 13.842084, 15.468046], [5.690640, 6.131489, 6.253871, 6.567720, 69.586956], [6.538617, 7.408816, 8.562890, 9.333608, 10.253692], [13.048477, 13.124194, 13.190983, 13.826046, 15.818363], [11.256102, 12.199369, 13.618310, 15.650382, 53.953288]]
### 6
mean: [1.615630, 0.035314, 1.985068, 0.520797, 0.427068, -0.977765, 1.887907, -0.799150, -0.643458]
std: [1.581508, 1.275089, 1.795411, 1.023166, 0.474590, 0.691730, 1.951170, 0.449398, 0.244172]
pca: [[0.443119, 0.215716, -0.130520, -0.142892, 0.155113, 0.591494, 0.268095, 0.509470, -0.119576, 0.000000], [-0.348326, 0.480367, 0.056444, 0.019316, 0.189772, 0.301883, -0.573102, 0.111330, 0.419965, 0.000000], [0.498561, 0.387954, 0.432477, -0.212111, 0.030043, -0.401072, 0.152406, -0.071029, 0.422927, 0.000000], [-0.266207, 0.607103, 0.110611, 0.381602, -0.359645, -0.179195, 0.253489, 0.208195, -0.365578, 0.000000], [0.124539, 0.084030, 0.448874, 0.321026, 0.464481, 0.285742, -0.008249, -0.493061, -0.363752, 0.000000], [-0.191725, 0.045013, -0.308763, 0.352774, 0.201482, 0.119461, 0.602894, -0.227498, 0.520892, 0.000000], [0.547721, -0.001533, -0.331327, 0.630845, -0.184812, -0.067259, -0.379806, -0.027764, 0.092479, 0.000000], [-0.078872, -0.435634, 0.605856, 0.360862, -0.187562, 0.163989, 0.057153, 0.409744, 0.271092, 0.000000], [-0.066313, -0.069031, -0.082736, 0.181393, 0.695706, -0.488565, -0.033568, 0.464899, -0.105492, 0.000000]]
fourier: [[23.580347, 23.984828, 31.430212, 37.111953, 145.406688], [17.664843, 19.372566, 19.667868, 22.249380, 26.141538], [24.579053, 28.840875, 36.941473, 41.819425, 178.656138], [14.959871, 16.099561, 16.780795, 19.160401, 46.871702], [6.780335, 8.788846, 9.981958, 9.982402, 38.436093], [9.063912, 11.759513, 13.972861, 15.174435, 87.998818], [29.260962, 30.064907, 37.998034, 44.580343, 169.911603], [7.142587, 7.407355, 8.313252, 9.197104, 71.923447], [3.200526, 3.956523, 5.123035, 5.720076, 57.911246]]
### 8
mean: [-0.908647, -0.991223, -0.812386, 0.451672, -1.049454, -1.335941, 3.196739, -0.351044, 2.364496]
std: [0.394289, 0.613744, 0.669058, 1.663092, 0.712047, 0.794256, 3.210242, 0.191243, 2.432067]
pca: [[-0.075454, -0.222969, 0.543838, 0.206543, 0.663833, 0.239441, -0.013645, -0.308998, -0.111801, 0.000000], [-0.134729, -0.073313, -0.220886, -0.207910, 0.031438, 0.832408, 0.286275, 0.152238, 0.292292, 0.000000], [-0.146853, -0.083481, 0.232517, 0.095611, -0.194103, -0.256748, 0.881583, -0.125020, 0.108836, 0.000000], [-0.334802, 0.867541, 0.088274, -0.017064, 0.295055, -0.049496, 0.070202, 0.166163, 0.071767, 0.000000], [-0.151821, -0.234530, 0.114737, 0.256102, 0.110116, -0.229295, -0.192663, 0.364597, 0.780027, 0.000000], [-0.169512, -0.250074, -0.341894, 0.217462, 0.360896, -0.120805, 0.199247, 0.600131, -0.447047, 0.000000], [0.709108, 0.052058, 0.132472, -0.470343, 0.334397, -0.135677, 0.195756, 0.267487, 0.124842, 0.000000], [-0.035143, -0.000556, 0.664401, -0.031226, -0.413500, 0.205213, -0.104764, 0.521576, -0.245455, 0.000000], [0.535391, 0.255072, -0.067518, 0.754722, -0.091813, 0.231742, 0.098129, 0.037735, 0.030719, 0.000000]]
fourier: [[6.851152, 6.873871, 6.906111, 9.541782, 81.778247], [8.507221, 9.951021, 12.594776, 14.046262, 89.210060], [10.026936, 10.493714, 13.150891, 15.658083, 73.114759], [23.439632, 26.899689, 28.038429, 30.470379, 40.650460], [10.833889, 10.882839, 14.082929, 17.058721, 94.450893], [11.252808, 12.666574, 16.099175, 18.794106, 120.234657], [48.190889, 50.487383, 63.426582, 73.314564, 287.706474], [3.264054, 3.380601, 3.806949, 3.926348, 31.593976], [35.970830, 37.585247, 48.804462, 56.456957, 212.804672]]
### 10
mean: [2.214637, 3.063399, -1.370775, -1.216759, -0.961993, 2.976886, 1.289715, -0.821262, -0.674866]
std: [2.516478, 3.043468, 0.935768, 2.492844, 2.775288, 3.226215, 1.596852, 0.343207, 0.793644]
pca: [[0.380439, 0.180109, -0.436720, -0.210484, 0.006160, 0.210598, 0.701531, -0.215131, 0.070584, 0.000000], [0.459548, -0.314891, -0.040507, 0.224353, -0.163723, -0.012375, -0.319134, -0.469508, 0.537068, 0.000000], [-0.131584, 0.522947, -0.012999, 0.546328, 0.524083, -0.102181, 0.068778, -0.050987, 0.343708, 0.000000], [-0.376756, -0.200877, -0.017726, -0.526880, 0.199774, -0.073547, 0.088935, 0.163286, 0.678156, 0.000000], [-0.417690, -0.442677, -0.498403, 0.286897, 0.195220, 0.478291, -0.053031, -0.117870, -0.123607, 0.000000], [0.486942, -0.361762, 0.111795, 0.181558, 0.342958, 0.144845, 0.103585, 0.659361, 0.049681, 0.000000], [0.240603, 0.227892, 0.009089, -0.455620, 0.525147, 0.348108, -0.471806, -0.192075, -0.161400, 0.000000], [-0.034539, 0.387303, 0.014401, 0.057919, -0.467728, 0.636636, -0.170128, 0.327835, 0.291113, 0.000000], [-0.119007, -0.160644, 0.738890, 0.055391, 0.091125, 0.404250, 0.358164, -0.333167, -0.001105, 0.000000]]
fourier: [[39.005160, 39.267959, 48.523955, 54.997179, 199.317312], [46.778408, 47.552478, 59.709674, 69.538586, 275.705930], [14.553645, 14.614996, 18.045722, 22.569419, 123.369754], [38.578484, 38.879186, 48.057858, 54.259814, 109.508342], [43.051353, 43.094557, 52.918394, 58.784355, 86.579389], [49.550404, 50.393018, 63.341524, 73.828386, 267.919703], [24.807311, 24.813211, 30.503870, 34.064701, 116.074352], [5.458929, 5.851914, 6.877306, 7.533705, 73.913555], [12.268075, 12.512132, 14.922614, 16.686022, 60.737959]]
### 12
mean: [-0.244278, -0.341418, -0.033436, 4.494102, 5.618846, -1.181978, 3.392174, -0.740138, -1.650074]
std: [1.136338, 0.057735, 1.489866, 4.718887, 5.703643, 0.455908, 3.256531, 1.694475, 0.676613]
pca: [[-0.125012, 0.450372, 0.613662, 0.120916, 0.134263, -0.039032, -0.227506, -0.564539, 0.017907, 0.000000], [0.004920, -0.038597, -0.009540, 0.618282, 0.631520, -0.287762, -0.029937, 0.279789, 0.235204, 0.000000], [-0.163016, 0.613530, 0.216306, -0.218109, 0.106681, 0.167310, 0.244147, 0.625921, -0.109030, 0.000000], [0.557565, -0.081984, 0.257720, 0.388670, -0.045495, 0.328819, 0.441300, -0.049464, -0.396905, 0.000000], [0.673869, 0.126639, 0.074933, -0.378939, 0.119670, -0.114622, 0.085220, -0.027225, 0.587529, 0.000000], [-0.047271, -0.238181, 0.075353, -0.095407, 0.343340, 0.808528, -0.348007, 0.053486, 0.175172, 0.000000], [0.383193, 0.326003, -0.402517, -0.090920, 0.252046, -0.063344, -0.497752, -0.033061, -0.510108, 0.000000], [-0.198558, 0.236369, -0.485778, -0.067731, 0.364442, 0.188904, 0.537313, -0.451072, 0.058845, 0.000000], [-0.065563, -0.421448, 0.317532, -0.488795, 0.491078, -0.270189, 0.167805, -0.025054, -0.367954, 0.000000]]
fourier: [[16.123590, 18.835178, 19.956663, 20.581589, 21.985024], [0.844088, 0.854843, 0.901380, 1.056598, 30.727647], [20.913278, 21.041484, 24.885240, 25.833932, 26.605183], [72.483764, 74.102885, 91.976943, 104.815572, 404.469166], [87.656090, 89.456750, 111.581683, 128.733234, 505.696165], [7.274155, 7.522285, 8.067411, 11.127440, 106.378012], [50.145047, 50.799140, 63.707623, 75.275311, 305.295675], [25.587139, 27.095952, 32.565657, 35.717420, 66.612407], [11.326793, 11.344846, 11.495809, 16.049971, 148.506654]]
### 14
mean: [-1.303265, -0.570733, 6.958366, -2.608378, 6.582455, 5.893364, -0.746867, -1.536656, -0.372815]
std: [0.736508, 0.274253, 7.218427, 2.998013, 6.832837, 6.020937, 1.844089, 0.740438, 1.863553]
pca: [[-0.051859, 0.393009, 0.619195, 0.003569, 0.273676, -0.113487, 0.602888, 0.083195, 0.035576, 0.000000], [-0.005502, 0.283644, 0.299057, 0.383132, 0.276829, 0.256087, -0.514007, -0.496526, 0.174169, 0.000000], [0.587039, -0.043460, -0.129224, 0.444218, -0.104943, 0.542140, 0.336884, 0.129150, 0.066093, 0.000000], [-0.243561, 0.146612, -0.260472, 0.508904, -0.362797, -0.426563, 0.232703, -0.188361, 0.434908, 0.000000], [0.555689, -0.014989, 0.005548, -0.358685, 0.166172, -0.286537, -0.115712, 0.008944, 0.662656, 0.000000], [0.489651, -0.040543, 0.279189, 0.263196, -0.221012, -0.541444, -0.188139, -0.034301, -0.482493, 0.000000], [-0.147118, -0.382465, 0.018990, 0.445823, 0.535217, -0.180182, -0.142142, 0.530414, 0.111770, 0.000000], [-0.043364, 0.548727, 0.084308, 0.006854, -0.351108, 0.098185, -0.365200, 0.641488, 0.109853, 0.000000], [-0.145846, -0.540793, 0.597639, -0.012323, -0.468656, 0.168219, -0.048165, 0.016689, 0.280023, 0.000000]]
fourier: [[12.117885, 12.155868, 12.563366, 17.574770, 117.293833], [4.059876, 4.907930, 5.431947, 5.560186, 51.366001], [110.153184, 113.985115, 141.149843, 162.451906, 626.252936], [45.812263, 47.196210, 58.658505, 68.488221, 234.754030], [104.209136, 107.968581, 133.697811, 153.604978, 592.420925], [91.942132, 95.024486, 117.789849, 135.519744, 530.402801], [27.194271, 30.098155, 35.497011, 37.614573, 67.218055], [11.565126, 12.965777, 13.735451, 16.631334, 138.299084], [26.796970, 30.993378, 33.553360, 35.090490, 36.063256]]
### 16
mean: [-9.510258]
std: [10.044217]
pca: [[1.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000]]
fourier: [[152.483059, 159.673215, 196.655390, 225.912867, 855.923064]]
## 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.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"mean": 1.065730094909668, "std": 1.6190698146820068, "pca": [-0.4291614294052124, -0.35090795159339905, -0.16830673813819885, 0.4963265061378479, -0.020953798666596413, -0.5265094637870789, -0.17656250298023224, 0.08552935719490051, 0.31918033957481384, 0.0], "fourier": [25.43579967200644, 25.696612138390833, 25.848889764455578, 26.34817506212353, 95.9157147705555]}, "1": {"mean": -0.21038305759429932, "std": 1.5111368894577026, "pca": [-0.3684069812297821, 0.3789452314376831, -0.34286782145500183, 0.16152158379554749, 0.35750508308410645, 0.01817256771028042, 0.38557010889053345, -0.5388018488883972, -0.0995858833193779, 0.0], "fourier": [22.656495000731038, 24.454226584012513, 24.846846270663914, 26.407656264732253, 32.22830240264971]}, "2": {"mean": 0.07517281919717789, "std": 1.1361844539642334, "pca": [0.3208990693092346, 0.05077217519283295, 0.2229352444410324, 0.034053124487400055, 0.8194923400878906, -0.1570999026298523, 0.053525377064943314, 0.20186279714107513, 0.32206296920776367, 0.0], "fourier": [15.358389226623743, 16.57106560723235, 17.27053619980606, 17.521185774348265, 21.419105518640407]}, "3": {"mean": -0.3953307569026947, "std": 1.0532262325286865, "pca": [-0.2907317280769348, 0.1383245438337326, 0.252490371465683, 0.11069361865520477, -0.02679835818707943, 0.6014567017555237, -0.29914143681526184, -0.15160349011421204, 0.5877069234848022, 0.0], "fourier": [16.32949098548672, 16.56495753210409, 16.94247390762534, 19.345581181691163, 35.579766638576984]}, "4": {"mean": 0.6415037512779236, "std": 1.698319435119629, "pca": [0.40097635984420776, 0.3938935399055481, -0.5007193684577942, 0.035367321223020554, -0.3170890212059021, -0.09939608722925186, 0.16742843389511108, 0.14148202538490295, 0.5230876207351685, 0.0], "fourier": [23.564642707058745, 26.39794186816402, 27.96778538981266, 29.259403450953176, 57.73533543944359]}, "5": {"mean": 0.6840877532958984, "std": 1.6491042375564575, "pca": [0.447852224111557, -0.23994052410125732, 0.18216480314731598, 0.7096604704856873, -0.12048868089914322, 0.2247864305973053, 0.2751043140888214, -0.23691803216934204, -0.09053141623735428, 0.0], "fourier": [25.385510961139428, 26.62873079578705, 29.1821428893074, 32.89033755515118, 61.56789493188262]}, "6": {"mean": 0.06901158392429352, "std": 1.0810668468475342, "pca": [-0.3331089913845062, -0.00809281412512064, -0.050888121128082275, 0.14818185567855835, 0.024512190371751785, 0.3333916664123535, 0.5057443380355835, 0.701359212398529, -0.0706578716635704, 0.0], "fourier": [14.985356789453247, 15.101740857337147, 15.514412467673733, 16.97106182931371, 20.81398694490706]}, "7": {"mean": -0.8464235663414001, "std": 1.3754266500473022, "pca": [-0.14030098915100098, 0.38938790559768677, 0.6739049553871155, -0.003951834514737129, -0.2858933210372925, -0.40490785241127014, 0.3381499946117401, -0.04243113845586777, 0.11268561333417892, 0.0], "fourier": [19.68580470099545, 20.666951391703265, 22.684203866200118, 25.8962740151585, 76.17813509702682]}, "8": {"mean": -0.47833526134490967, "std": 1.223334550857544, "pca": [0.024413540959358215, 0.589186429977417, 0.004650508519262075, 0.43279993534088135, 0.0454571358859539, -0.02276279777288437, -0.5039577484130859, 0.26228344440460205, -0.3735979497432709, 0.0], "fourier": [21.390820816603036, 23.8892515494997, 24.597551103063605, 29.887767890251236, 43.05017717182636]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "2": {"neuron_profiles": {"0": {"mean": 0.14785684645175934, "std": 0.6910402178764343, "pca": [-0.11857640743255615, 0.40619543194770813, -0.4371388852596283, 0.5407069325447083, -0.06359182298183441, 0.25837627053260803, 0.4663817286491394, 0.162651926279068, 0.15073390305042267, 0.0], "fourier": [11.362213145211953, 11.385280075734615, 12.184518102771397, 13.307116106152534, 14.315665158152289]}, "1": {"mean": -0.5039385557174683, "std": 0.26775819063186646, "pca": [-0.00275036902166903, 0.07351964712142944, 0.06209324672818184, -0.43299102783203125, 0.25865238904953003, 0.3358336389064789, 0.33919671177864075, -0.4761911630630493, 0.530803918838501, 0.0], "fourier": [4.376656496194038, 4.467084298214013, 4.619607473733983, 5.847919291626863, 45.35446819663048]}, "2": {"mean": -0.010917101055383682, "std": 0.47788378596305847, "pca": [0.007368560880422592, 0.18505743145942688, 0.6375003457069397, 0.027878278866410255, -0.46410876512527466, -0.3346274793148041, 0.4284779727458954, 0.11199214309453964, 0.18710270524024963, 0.0], "fourier": [6.983676365596782, 7.586617505379624, 8.047911337921336, 8.141757892462437, 8.578269664951994]}, "3": {"mean": 0.505852460861206, "std": 0.6447473764419556, "pca": [0.16720935702323914, -0.41147077083587646, 0.1714569628238678, 0.03501289337873459, -0.1646203100681305, 0.5631150007247925, -0.1149730458855629, 0.5410777926445007, 0.3491806089878082, 0.0], "fourier": [9.436941415220893, 9.87680666707378, 13.443170692211929, 13.658195214036315, 45.52672380581498]}, "4": {"mean": 0.3147042691707611, "std": 1.5791937112808228, "pca": [0.6948004961013794, -0.21593429148197174, 0.06627898663282394, 0.1491679698228836, 0.4532221853733063, -0.1322747766971588, 0.42299848794937134, 0.07832063734531403, -0.18976780772209167, 0.0], "fourier": [23.547399382940785, 23.69849937967204, 23.77814652991234, 26.45341022579521, 28.32338377274573]}, "5": {"mean": 0.02998015284538269, "std": 1.5798544883728027, "pca": [-0.6755360960960388, -0.37286806106567383, 0.14506109058856964, -0.0490296334028244, 0.35271120071411133, 0.0043855952098965645, 0.3908037841320038, 0.22025008499622345, -0.2356090247631073, 0.0], "fourier": [21.80346718715056, 23.491111735243333, 24.044354050310517, 26.39615916377061, 31.58725295340974]}, "6": {"mean": -1.0671896934509277, "std": 0.7683367133140564, "pca": [0.0721513107419014, 0.5752760767936707, 0.2638566195964813, -0.3264535963535309, 0.12413131445646286, 0.4274947941303253, -0.010339295491576195, 0.2505636513233185, -0.4760356545448303, 0.0], "fourier": [13.102918883554858, 13.625297019847393, 14.751260479503976, 15.732391142819232, 96.0470734089613]}, "7": {"mean": 0.38948869705200195, "std": 0.46751540899276733, "pca": [-0.0680927038192749, -0.050344351679086685, 0.4825526773929596, 0.600213885307312, 0.1022217646241188, 0.3345208466053009, -0.17846710979938507, -0.4766715168952942, -0.13526009023189545, 0.0], "fourier": [7.470325248553063, 7.9949709307044925, 8.030591885114452, 9.99355425734198, 35.05398081243038]}, "8": {"mean": -0.9992233514785767, "std": 0.5144195556640625, "pca": [-0.09476061910390854, 0.32697153091430664, 0.20331448316574097, 0.16330339014530182, 0.5752258896827698, -0.2814454734325409, -0.3271219730377197, 0.31118613481521606, 0.44962573051452637, 0.0], "fourier": [7.792616563386567, 8.085763693638935, 10.268369911065673, 11.693502939817181, 89.93010261654854]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "4": {"neuron_profiles": {"0": {"mean": 0.08673028647899628, "std": 1.0032349824905396, "pca": [-0.4768282175064087, 0.048678889870643616, 0.5410246849060059, 0.3097529113292694, -0.29800233244895935, -0.09331740438938141, -0.3063020706176758, -0.37084391713142395, -0.22967566549777985, 0.0], "fourier": [12.968734328572328, 15.361089630165838, 16.830740310532395, 18.04933828764514, 19.580368796672023]}, "1": {"mean": 0.340404748916626, "std": 0.5462526082992554, "pca": [-0.1875620037317276, 0.3034180998802185, 0.33252301812171936, 0.3274087607860565, 0.44296279549598694, -0.24954089522361755, 0.12485582381486893, 0.6155548095703125, 0.04479405656456947, 0.0], "fourier": [8.940234076054232, 8.98293891575019, 9.791949836389305, 11.604292198660437, 30.636426880955696]}, "2": {"mean": 1.2233169078826904, "std": 1.1130045652389526, "pca": [0.545936107635498, -0.047746188938617706, 0.17686042189598083, -0.12767958641052246, 0.28241366147994995, -0.36546406149864197, -0.29005590081214905, -0.08743029087781906, -0.5890623331069946, 0.0], "fourier": [14.51552183913944, 18.460285022595762, 22.56296724258879, 24.778699820366366, 110.09851470589638]}, "3": {"mean": 1.3107705116271973, "std": 1.0919525623321533, "pca": [0.5337390899658203, 0.0377083458006382, 0.2518370747566223, 0.36785465478897095, -0.028616445139050484, -0.09614247828722, -0.17695099115371704, -0.21765504777431488, 0.6528506875038147, 0.0], "fourier": [15.138649533404724, 18.215365396822484, 23.08671940468385, 25.1236476759374, 117.96934232115746]}, "4": {"mean": -0.17186716198921204, "std": 0.6751180291175842, "pca": [0.09457951784133911, -0.5484415292739868, -0.1026984378695488, 0.49046483635902405, -0.04566044732928276, 0.4119403660297394, -0.31051167845726013, 0.37002435326576233, -0.18452274799346924, 0.0], "fourier": [9.85551064002802, 9.871662298932273, 11.249035586829205, 13.842084089882881, 15.468046315014362]}, "5": {"mean": -0.7731883525848389, "std": 0.33443495631217957, "pca": [-0.11086711287498474, -0.12146270275115967, -0.3919849693775177, 0.5344231724739075, 0.3738834857940674, -0.2054004669189453, 0.35169070959091187, -0.46101099252700806, -0.1244959607720375, 0.0], "fourier": [5.690640329015589, 6.131488962893715, 6.2538712205018525, 6.567720465238693, 69.58695557713509]}, "6": {"mean": -0.11392992734909058, "std": 0.427934467792511, "pca": [-0.20754772424697876, 0.00478736637160182, 0.08436284214258194, -0.22331318259239197, 0.6910901069641113, 0.4309145212173462, -0.3811396360397339, -0.25007012486457825, 0.16976405680179596, 0.0], "fourier": [6.538616773716778, 7.408815670131768, 8.562890000406046, 9.333607830635415, 10.25369244068861]}, "7": {"mean": 0.01063984353095293, "std": 0.886246383190155, "pca": [0.07449396699666977, 0.725286602973938, -0.4443027675151825, 0.24040871858596802, -0.12215236574411392, 0.16210933029651642, -0.38743022084236145, 0.020207194611430168, -0.14662033319473267, 0.0], "fourier": [13.048477021475005, 13.12419351697643, 13.190983222732074, 13.826045713465207, 15.818363352655775]}, "8": {"mean": 0.599480926990509, "std": 0.6794456243515015, "pca": [0.2909802198410034, 0.24548184871673584, 0.3650999069213867, 0.10681051760911942, 0.001322039868682623, 0.6019658446311951, 0.5095807313919067, -0.12710919976234436, -0.2686426043510437, 0.0], "fourier": [11.256102183389459, 12.199369051337904, 13.6183097390424, 15.650382059382682, 53.953287839889526]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "6": {"neuron_profiles": {"0": {"mean": 1.61562979221344, "std": 1.5815078020095825, "pca": [0.44311919808387756, 0.21571631729602814, -0.13052044808864594, -0.14289164543151855, 0.1551125943660736, 0.5914944410324097, 0.2680945098400116, 0.5094698071479797, -0.11957623064517975, 0.0], "fourier": [23.58034659347861, 23.984827684444543, 31.430212041393766, 37.11195344933777, 145.40668781101704]}, "1": {"mean": 0.03531359136104584, "std": 1.2750887870788574, "pca": [-0.34832555055618286, 0.4803672134876251, 0.05644441395998001, 0.019315768033266068, 0.18977150321006775, 0.30188316106796265, -0.5731018781661987, 0.111329585313797, 0.41996532678604126, 0.0], "fourier": [17.66484301556032, 19.372566049207034, 19.66786825743062, 22.249379912457794, 26.14153835345096]}, "2": {"mean": 1.9850682020187378, "std": 1.7954109907150269, "pca": [0.49856123328208923, 0.38795387744903564, 0.43247663974761963, -0.21211089193820953, 0.030043169856071472, -0.4010722041130066, 0.15240569412708282, -0.07102886587381363, 0.42292705178260803, 0.0], "fourier": [24.579052786061812, 28.840875292135898, 36.9414727627262, 41.81942453950673, 178.65613777935505]}, "3": {"mean": 0.5207967162132263, "std": 1.0231664180755615, "pca": [-0.266206830739975, 0.6071028709411621, 0.11061105877161026, 0.3816024363040924, -0.35964491963386536, -0.17919543385505676, 0.2534889578819275, 0.20819537341594696, -0.36557814478874207, 0.0], "fourier": [14.95987100124572, 16.09956134285564, 16.78079503157549, 19.16040076156585, 46.87170207500458]}, "4": {"mean": 0.42706769704818726, "std": 0.47458958625793457, "pca": [0.12453947961330414, 0.08402953296899796, 0.44887444376945496, 0.3210258483886719, 0.4644809067249298, 0.28574201464653015, -0.00824868492782116, -0.49306052923202515, -0.36375176906585693, 0.0], "fourier": [6.780335420003707, 8.788845596055069, 9.981958335136357, 9.98240205933352, 38.43609309569001]}, "5": {"mean": -0.9777647256851196, "std": 0.6917299032211304, "pca": [-0.1917250007390976, 0.04501289874315262, -0.3087630867958069, 0.35277390480041504, 0.20148223638534546, 0.11946050077676773, 0.6028940677642822, -0.22749797999858856, 0.520892322063446, 0.0], "fourier": [9.063911609094813, 11.759513191001272, 13.972861308733819, 15.174434798262618, 87.99881756305695]}, "6": {"mean": 1.887906789779663, "std": 1.9511696100234985, "pca": [0.547721266746521, -0.0015329023590311408, -0.33132728934288025, 0.6308453679084778, -0.18481238186359406, -0.0672592967748642, -0.37980636954307556, -0.027764393016695976, 0.09247855842113495, 0.0], "fourier": [29.260961811608233, 30.064907260404013, 37.998034332363126, 44.58034304757132, 169.91160340607166]}, "7": {"mean": -0.7991495132446289, "std": 0.4493979215621948, "pca": [-0.07887212932109833, -0.43563398718833923, 0.60585618019104, 0.3608616292476654, -0.1875615268945694, 0.16398930549621582, 0.05715250223875046, 0.40974393486976624, 0.27109238505363464, 0.0], "fourier": [7.142586760428256, 7.407355044597625, 8.313252258563342, 9.197104373262166, 71.9234470129013]}, "8": {"mean": -0.6434583067893982, "std": 0.24417220056056976, "pca": [-0.06631265580654144, -0.06903073936700821, -0.08273584395647049, 0.18139305710792542, 0.695706307888031, -0.4885645806789398, -0.03356814384460449, 0.4648987352848053, -0.10549161583185196, 0.0], "fourier": [3.2005261722195675, 3.9565230352679306, 5.12303477608367, 5.7200758581116435, 57.911245971918106]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "8": {"neuron_profiles": {"0": {"mean": -0.9086471796035767, "std": 0.39428895711898804, "pca": [-0.0754542127251625, -0.2229692041873932, 0.5438382625579834, 0.20654283463954926, 0.6638327240943909, 0.23944111168384552, -0.01364506222307682, -0.3089980483055115, -0.11180087924003601, 0.0], "fourier": [6.851151842005437, 6.8738705696663995, 6.9061111605011405, 9.541781946039968, 81.77824681997299]}, "1": {"mean": -0.9912227988243103, "std": 0.6137440800666809, "pca": [-0.13472877442836761, -0.07331293821334839, -0.2208862155675888, -0.2079097330570221, 0.031438156962394714, 0.8324080109596252, 0.28627508878707886, 0.15223829448223114, 0.2922922968864441, 0.0], "fourier": [8.50722123796989, 9.951021240691212, 12.594775599550678, 14.046261950170294, 89.2100602388382]}, "2": {"mean": -0.812386155128479, "std": 0.6690579056739807, "pca": [-0.1468525230884552, -0.0834813117980957, 0.23251743614673615, 0.09561144560575485, -0.19410309195518494, -0.25674793124198914, 0.8815829753875732, -0.12502029538154602, 0.10883571952581406, 0.0], "fourier": [10.026935845272435, 10.493714068322795, 13.150891290722377, 15.658083374427124, 73.11475900560617]}, "3": {"mean": 0.4516717791557312, "std": 1.6630921363830566, "pca": [-0.3348023295402527, 0.8675411939620972, 0.08827409893274307, -0.017063608393073082, 0.29505494236946106, -0.04949614405632019, 0.07020225375890732, 0.16616277396678925, 0.07176665961742401, 0.0], "fourier": [23.43963216886828, 26.89968886355526, 28.038428995499647, 30.470378834462025, 40.65045967698097]}, "4": {"mean": -1.0494542121887207, "std": 0.7120465636253357, "pca": [-0.15182086825370789, -0.23453009128570557, 0.1147366538643837, 0.25610214471817017, 0.11011567711830139, -0.22929535806179047, -0.19266344606876373, 0.3645966649055481, 0.7800266146659851, 0.0], "fourier": [10.833888983862769, 10.882839331399143, 14.082928973614647, 17.058720939391264, 94.45089265704155]}, "5": {"mean": -1.3359405994415283, "std": 0.794256329536438, "pca": [-0.16951201856136322, -0.2500738501548767, -0.3418942093849182, 0.21746183931827545, 0.36089569330215454, -0.12080488353967667, 0.1992468386888504, 0.6001313328742981, -0.4470469653606415, 0.0], "fourier": [11.252807858816125, 12.666574409961742, 16.099175367504916, 18.79410643048285, 120.23465669155121]}, "6": {"mean": 3.1967387199401855, "std": 3.2102415561676025, "pca": [0.7091079354286194, 0.052057575434446335, 0.13247208297252655, -0.47034287452697754, 0.33439651131629944, -0.13567732274532318, 0.19575558602809906, 0.26748737692832947, 0.12484229356050491, 0.0], "fourier": [48.19088936351247, 50.48738314997526, 63.42658178739233, 73.3145644943521, 287.70647379755974]}, "7": {"mean": -0.3510441780090332, "std": 0.19124332070350647, "pca": [-0.035143062472343445, -0.0005555631360039115, 0.664401113986969, -0.03122558258473873, -0.4135003387928009, 0.20521345734596252, -0.10476404428482056, 0.5215762257575989, -0.24545544385910034, 0.0], "fourier": [3.2640539537305733, 3.380601401416874, 3.8069492863022476, 3.9263480823122867, 31.593975841999054]}, "8": {"mean": 2.3644962310791016, "std": 2.4320666790008545, "pca": [0.5353910326957703, 0.2550715208053589, -0.06751769036054611, 0.7547221183776855, -0.09181272238492966, 0.23174208402633667, 0.09812884777784348, 0.037735097110271454, 0.030718743801116943, 0.0], "fourier": [35.97082974947813, 37.585247401367575, 48.804462392295015, 56.4569571291079, 212.80467157810926]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "10": {"neuron_profiles": {"0": {"mean": 2.21463680267334, "std": 2.5164783000946045, "pca": [0.38043907284736633, 0.18010884523391724, -0.4367203712463379, -0.21048372983932495, 0.006160289980471134, 0.21059845387935638, 0.7015310525894165, -0.2151307612657547, 0.0705840140581131, 0.0], "fourier": [39.00515958137296, 39.267958972440645, 48.52395454809539, 54.997178718825694, 199.3173123896122]}, "1": {"mean": 3.063398838043213, "std": 3.0434679985046387, "pca": [0.4595482349395752, -0.31489109992980957, -0.04050692170858383, 0.22435307502746582, -0.16372334957122803, -0.012375124730169773, -0.31913354992866516, -0.4695075452327728, 0.5370678305625916, 0.0], "fourier": [46.77840829661835, 47.55247789873073, 59.7096735390883, 69.5385862743987, 275.70593021810055]}, "2": {"mean": -1.3707749843597412, "std": 0.9357679486274719, "pca": [-0.13158424198627472, 0.522946834564209, -0.012998835183680058, 0.5463277697563171, 0.5240831971168518, -0.10218056291341782, 0.06877817213535309, -0.050987403839826584, 0.34370771050453186, 0.0], "fourier": [14.55364456951867, 14.614995708775211, 18.045722245855956, 22.569419058987854, 123.36975398659706]}, "3": {"mean": -1.2167593240737915, "std": 2.492844343185425, "pca": [-0.3767556846141815, -0.20087702572345734, -0.017725730314850807, -0.5268803238868713, 0.1997736394405365, -0.07354700565338135, 0.08893479406833649, 0.16328631341457367, 0.678156316280365, 0.0], "fourier": [38.578483571046675, 38.879186091685874, 48.05785848944494, 54.2598136012116, 109.50834211707115]}, "4": {"mean": -0.9619932174682617, "std": 2.7752878665924072, "pca": [-0.4176895320415497, -0.44267719984054565, -0.4984029531478882, 0.28689655661582947, 0.19521962106227875, 0.4782908260822296, -0.053030967712402344, -0.11787008494138718, -0.12360721081495285, 0.0], "fourier": [43.05135341186822, 43.094557225346215, 52.91839386168118, 58.784354977553235, 86.57938858866692]}, "5": {"mean": 2.9768855571746826, "std": 3.226214647293091, "pca": [0.48694151639938354, -0.3617616295814514, 0.11179491877555847, 0.18155767023563385, 0.34295815229415894, 0.14484547078609467, 0.10358502715826035, 0.6593608260154724, 0.04968065768480301, 0.0], "fourier": [49.55040368579988, 50.39301831443894, 63.341523952879996, 73.82838630356403, 267.9197033941746]}, "6": {"mean": 1.2897149324417114, "std": 1.596852421760559, "pca": [0.24060344696044922, 0.2278924584388733, 0.009088972583413124, -0.45562028884887695, 0.5251474380493164, 0.3481076657772064, -0.47180619835853577, -0.1920749694108963, -0.16139985620975494, 0.0], "fourier": [24.807311411522885, 24.813211358325496, 30.503869988837277, 34.06470060951128, 116.07435213029385]}, "7": {"mean": -0.8212617635726929, "std": 0.3432071805000305, "pca": [-0.034539368003606796, 0.3873026371002197, 0.014400689862668514, 0.05791852995753288, -0.4677278995513916, 0.6366363167762756, -0.17012837529182434, 0.3278351426124573, 0.2911134660243988, 0.0], "fourier": [5.458929069478311, 5.851913643161871, 6.877305535269976, 7.533704645638167, 73.91355484724045]}, "8": {"mean": -0.674866259098053, "std": 0.7936438322067261, "pca": [-0.11900706589221954, -0.16064418852329254, 0.7388895153999329, 0.05539058893918991, 0.09112540632486343, 0.40424999594688416, 0.35816365480422974, -0.33316749334335327, -0.001104982104152441, 0.0], "fourier": [12.26807485540918, 12.512131897050512, 14.922614117902086, 16.68602152141337, 60.737958915531635]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "12": {"neuron_profiles": {"0": {"mean": -0.24427805840969086, "std": 1.1363375186920166, "pca": [-0.12501230835914612, 0.4503723382949829, 0.6136623024940491, 0.1209162026643753, 0.13426296412944794, -0.03903156518936157, -0.22750627994537354, -0.5645394325256348, 0.017906706780195236, 0.0], "fourier": [16.123590107875952, 18.835177782790215, 19.95666283900691, 20.58158865706215, 21.98502391576767]}, "1": {"mean": -0.3414182960987091, "std": 0.057735342532396317, "pca": [0.0049201613292098045, -0.03859708458185196, -0.00953966286033392, 0.6182817220687866, 0.6315195560455322, -0.2877618670463562, -0.029936695471405983, 0.27978914976119995, 0.23520363867282867, 0.0], "fourier": [0.8440877283827166, 0.8548428863364194, 0.9013802185643726, 1.0565983069011653, 30.727647095918655]}, "2": {"mean": -0.03343623876571655, "std": 1.489865779876709, "pca": [-0.16301558911800385, 0.6135303974151611, 0.21630561351776123, -0.21810857951641083, 0.10668140649795532, 0.16731031239032745, 0.24414728581905365, 0.6259214878082275, -0.10903047770261765, 0.0], "fourier": [20.913278471025265, 21.041484063330937, 24.88524007705794, 25.833932216203138, 26.60518323672462]}, "3": {"mean": 4.4941020011901855, "std": 4.7188873291015625, "pca": [0.5575645565986633, -0.08198382705450058, 0.25771981477737427, 0.38866978883743286, -0.04549511894583702, 0.32881852984428406, 0.44129955768585205, -0.049464307725429535, -0.3969045877456665, 0.0], "fourier": [72.48376365809722, 74.10288487356601, 91.97694254011977, 104.81557228641321, 404.46916568279266]}, "4": {"mean": 5.618846416473389, "std": 5.703643321990967, "pca": [0.6738694906234741, 0.1266392022371292, 0.07493289560079575, -0.37893906235694885, 0.1196703389286995, -0.11462173610925674, 0.08521968871355057, -0.027225233614444733, 0.587528645992279, 0.0], "fourier": [87.65609037862127, 89.45674961031642, 111.58168283860181, 128.7332344830628, 505.69616508483887]}, "5": {"mean": -1.1819779872894287, "std": 0.455907940864563, "pca": [-0.047271233052015305, -0.23818111419677734, 0.07535341382026672, -0.09540651738643646, 0.34334009885787964, 0.8085280656814575, -0.3480067551136017, 0.05348585918545723, 0.17517180740833282, 0.0], "fourier": [7.274155063181135, 7.522285483434914, 8.067410560921703, 11.127439976352546, 106.37801206111908]}, "6": {"mean": 3.392174243927002, "std": 3.2565314769744873, "pca": [0.3831929862499237, 0.3260032832622528, -0.40251681208610535, -0.09091956913471222, 0.25204557180404663, -0.06334351003170013, -0.4977516531944275, -0.03306053578853607, -0.5101076364517212, 0.0], "fourier": [50.145047350329634, 50.7991404037342, 63.707623323649194, 75.275311111498, 305.29567524045706]}, "7": {"mean": -0.7401378154754639, "std": 1.6944749355316162, "pca": [-0.19855807721614838, 0.23636852204799652, -0.4857783019542694, -0.0677308663725853, 0.36444175243377686, 0.18890443444252014, 0.5373127460479736, -0.45107224583625793, 0.058844998478889465, 0.0], "fourier": [25.587138787195954, 27.09595171625063, 32.565657203630465, 35.71742012375281, 66.61240664124489]}, "8": {"mean": -1.650073766708374, "std": 0.6766126155853271, "pca": [-0.06556346267461777, -0.42144775390625, 0.31753191351890564, -0.48879480361938477, 0.4910780191421509, -0.2701892852783203, 0.16780546307563782, -0.02505430579185486, -0.36795392632484436, 0.0], "fourier": [11.326793043199176, 11.344846440468965, 11.49580857166733, 16.049970640063773, 148.506654381752]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "14": {"neuron_profiles": {"0": {"mean": -1.3032647371292114, "std": 0.7365078330039978, "pca": [-0.0518590547144413, 0.3930093050003052, 0.6191949248313904, 0.0035686511546373367, 0.27367648482322693, -0.11348672211170197, 0.6028882265090942, 0.08319476246833801, 0.03557584062218666, 0.0], "fourier": [12.117884977882678, 12.155867965101441, 12.563366325756926, 17.574770434627702, 117.29383274912834]}, "1": {"mean": -0.570733368396759, "std": 0.2742530107498169, "pca": [-0.005501653533428907, 0.28364381194114685, 0.29905667901039124, 0.3831321597099304, 0.2768290936946869, 0.2560867667198181, -0.5140067934989929, -0.49652594327926636, 0.1741693615913391, 0.0], "fourier": [4.059876356870897, 4.907930235945527, 5.431947390958161, 5.560186027885873, 51.366000920534134]}, "2": {"mean": 6.958366394042969, "std": 7.218426704406738, "pca": [0.5870392322540283, -0.043460384011268616, -0.1292240172624588, 0.44421833753585815, -0.1049431785941124, 0.5421397089958191, 0.33688417077064514, 0.1291496306657791, 0.06609280407428741, 0.0], "fourier": [110.15318368868627, 113.98511539689032, 141.14984307321834, 162.45190578816226, 626.2529364228249]}, "3": {"mean": -2.6083781719207764, "std": 2.998013496398926, "pca": [-0.24356070160865784, 0.14661219716072083, -0.2604718804359436, 0.5089040398597717, -0.3627970814704895, -0.4265633523464203, 0.23270346224308014, -0.18836115300655365, 0.43490833044052124, 0.0], "fourier": [45.812262929812114, 47.196210116969695, 58.65850490387248, 68.48822135117723, 234.75402998924255]}, "4": {"mean": 6.582455158233643, "std": 6.832837104797363, "pca": [0.5556890368461609, -0.014989216811954975, 0.005548486020416021, -0.3586849272251129, 0.16617201268672943, -0.2865370213985443, -0.11571185290813446, 0.008943756110966206, 0.6626564264297485, 0.0], "fourier": [104.20913575957239, 107.96858090824064, 133.69781053467446, 153.6049780246781, 592.4209247231483]}, "5": {"mean": 5.893363952636719, "std": 6.020937442779541, "pca": [0.48965078592300415, -0.040543269366025925, 0.27918851375579834, 0.26319625973701477, -0.22101183235645294, -0.5414440631866455, -0.1881391704082489, -0.034301016479730606, -0.4824925363063812, 0.0], "fourier": [91.94213227137183, 95.02448575396117, 117.78984905040979, 135.51974354847016, 530.4028010964394]}, "6": {"mean": -0.7468673586845398, "std": 1.8440885543823242, "pca": [-0.14711815118789673, -0.38246479630470276, 0.01899043284356594, 0.4458225965499878, 0.53521728515625, -0.1801818460226059, -0.1421416848897934, 0.5304135680198669, 0.11177029460668564, 0.0], "fourier": [27.194270855742303, 30.098155112749275, 35.49701088975868, 37.61457286088646, 67.21805495023727]}, "7": {"mean": -1.5366564989089966, "std": 0.7404377460479736, "pca": [-0.043364111334085464, 0.5487271547317505, 0.08430756628513336, 0.00685351574793458, -0.35110774636268616, 0.09818462282419205, -0.36520034074783325, 0.6414884328842163, 0.10985317826271057, 0.0], "fourier": [11.565126007871541, 12.9657770270707, 13.735450509111955, 16.631334115512104, 138.29908365011215]}, "8": {"mean": -0.3728151023387909, "std": 1.8635532855987549, "pca": [-0.14584602415561676, -0.5407926440238953, 0.5976393818855286, -0.012322540394961834, -0.4686560034751892, 0.16821928322315216, -0.04816465824842453, 0.0166886355727911, 0.2800231873989105, 0.0], "fourier": [26.796970036007142, 30.993378410386413, 33.55335971713066, 35.09049013834106, 36.063255828963285]}}, "layer_info": {"num_neurons": 9, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}, "16": {"neuron_profiles": {"0": {"mean": -9.510257720947266, "std": 10.044217109680176, "pca": [1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "fourier": [152.48305866835517, 159.6732152889628, 196.65538951929756, 225.91286745895897, 855.9230639636517]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["mean", "std", "pca", "fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 8, "neurons_per_layer": 9, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.351351, 0.65015, 0.030437, -0.296337, -0.203767], [0.553481, -0.068788, 0.114278, -0.362374, 0.17452], [-0.277558, -0.373766, 0.135034, 0.392323, -0.061903], [0.253998, -0.009508, 0.131618, -0.326816, -0.267581], [-0.301073, -0.380585, 0.032979, 0.240675, 0.722862], [-0.694875, 0.04328, 0.264462, 0.427503, 0.017317], [0.343852, 0.215469, 0.032813, -0.296789, -0.126948], [0.024106, -0.396474, 0.253528, -0.326768, -0.385427], [0.002012, -0.467075, 0.371351, -0.141534, 0.220762]], "network.0.bias": [0.266989, -0.450677, 0.054623, 0.06183, 0.233149, -0.020589, -0.027051, 0.492546, -0.374197], "network.2.weight": [[0.024714, 0.172446, 0.229763, -0.150778, -0.525687, 0.256258, -0.146938, 0.605522, 0.024514], [-0.096171, -0.044245, -0.051618, -0.003471, -0.00481, -0.063969, 0.071235, -0.183453, -0.329744], [-0.066958, -0.156981, -0.062265, 0.389051, 0.06732, -0.342615, -0.273841, 0.583601, -0.14224], [-0.015877, -0.04868, -0.053102, 0.160069, 0.506952, -0.007898, 0.213095, -0.109828, 0.097844], [-0.362745, 0.11009, 0.28978, -0.48439, 0.701102, 0.075198, -0.244772, -0.063976, 0.15767], [0.397354, 0.532718, -0.210769, 0.133397, -0.325914, -0.17417, 0.304825, -0.199804, -0.275617], [-0.380037, -0.308058, 0.036072, 0.209331, -0.267921, -0.150304, -0.010003, 0.212209, -0.372925], [-0.145184, 0.18529, 0.200121, 0.078732, -0.024027, -0.218374, 0.24706, 0.524138, 0.096681], [-0.226617, 0.157732, 0.1805, -0.06395, -0.403953, -0.159639, -0.033712, 0.085972, -0.078221]], "network.2.bias": [0.15881, -0.178707, 0.437995, -0.058094, -0.018605, -0.168662, -0.025054, 0.393036, -0.278631], "network.4.weight": [[0.461006, -0.249031, 0.610533, -0.15356, -0.508263, -0.594579, 0.107291, 0.528408, 0.329629], [0.39626, 0.089804, 0.430857, 0.116349, -0.425463, -0.02152, -0.111827, 0.204905, 0.060626], [-0.045805, -0.065904, -0.224397, 0.299659, 0.707768, 0.726835, -0.205133, -0.040162, 0.297063], [-0.089821, 0.011428, -0.23127, 0.469395, 0.537442, 0.709006, -0.061021, 0.121898, 0.184546], [-0.267507, -0.221275, -0.141403, 0.39657, 0.201884, -0.316367, -0.161186, -0.14378, 0.055799], [-0.242634, -0.093429, 0.115641, 0.248095, -0.314688, -0.258446, -0.229362, -0.417405, -0.064899], [0.323397, -0.029592, 0.114503, -0.00386, -0.265294, -0.252652, -0.094853, -0.006499, 0.201816], [-0.240708, -0.083345, -0.288838, -0.027356, -0.43854, 0.541324, -0.25, -0.174375, 0.29436], [0.186077, -0.325897, -0.246531, 0.259486, 0.196589, 0.515989, -0.21429, 0.349897, 0.067323]], "network.4.bias": [0.402382, 0.302413, 0.171669, 0.2579, -0.152584, -0.265696, 0.107815, 0.2408, -0.163346], "network.6.weight": [[-0.138858, -0.174059, 0.238052, 0.513344, 0.549781, -0.172288, -0.201211, 0.52278, 0.53564], [0.590895, 0.572901, -0.421441, -0.237329, 0.064627, -0.117378, 0.126247, -0.388485, 0.005056], [-0.030589, 0.164253, 0.652372, 0.656388, 0.520163, 0.326098, -0.086384, 0.295054, 0.228358], [0.543558, 0.651971, -0.105645, -0.257541, -0.06215, 0.125453, 0.557917, -0.46406, 0.123848], [0.056922, -0.248943, -0.086972, 0.208959, 0.376151, -0.012953, -0.052874, -0.146131, 0.420291], [0.253637, -0.225438, -0.305601, -0.352953, -0.114963, -0.172452, 0.128137, -0.085287, 0.282899], [-0.484998, -0.19176, 0.559427, 0.491113, 0.019356, -0.116498, -0.198382, 0.406966, 0.614636], [-0.353918, -0.301709, -0.169907, -0.00997, -0.09371, -0.091874, 0.270758, -0.430528, -0.143323], [0.228586, -0.328377, -0.091966, -0.140868, -0.116157, -0.076095, -0.270074, -0.01745, 0.08378]], "network.6.bias": [0.215996, 0.449268, -0.052373, 0.486237, 0.073618, -0.292908, 0.370059, -0.075627, -0.297899], "network.8.weight": [[-0.154035, -0.308865, 0.07001, 0.006151, 0.108173, -0.242242, -0.240089, 0.129418, -0.238752], [-0.346629, 0.113345, -0.063051, -0.066058, -0.220473, 0.196471, 0.084546, 0.00737, -0.296294], [-0.023141, 0.061873, -0.071299, -0.081145, 0.022219, 0.090254, -0.287199, 0.311656, 0.163199], [-0.128364, 0.740093, 0.121219, 0.700858, 0.205776, 0.206164, -0.395395, -0.242258, -0.123745], [-0.020556, -0.151783, -0.177416, -0.049596, -0.046958, -0.201075, -0.238224, -0.254453, 0.315946], [-0.007795, -0.204717, -0.384003, 0.058957, -0.147864, -0.129417, -0.047887, -0.07396, 0.331285], [0.404002, -0.429743, 0.419335, -0.110686, 0.403148, -0.024283, 0.728798, -0.033614, 0.043105], [-0.178551, 0.1498, 0.317919, -0.210357, 0.068265, 0.033795, -0.286174, 0.007448, 0.314172], [0.496839, -0.33797, 0.548411, 0.19428, -0.088831, 0.017236, 0.355977, -0.101831, -0.117104]], "network.8.bias": [-0.206294, -0.387052, -0.054639, 0.214421, -0.056558, -0.33177, 0.407412, -0.09181, -0.148356], "network.10.weight": [[-0.044338, 0.126081, 0.028225, -0.478988, -0.01009, 0.114821, 0.584789, 0.23083, 0.104034], [-0.217829, -0.184507, 0.276635, -0.224134, -0.121899, 0.012652, 0.559441, -0.076662, 0.466803], [0.024641, -0.302963, 0.073068, -0.237897, 0.09978, -0.057571, -0.130557, -0.027634, -0.299332], [0.025022, -0.305568, -0.089909, 0.507211, -0.091687, -0.107644, -0.470485, 0.187061, -0.231328], [-0.005823, -0.286795, -0.09071, 0.734235, 0.041071, 0.364039, -0.418494, 0.280057, -0.319102], [0.314758, 0.180536, -0.22169, -0.223763, -0.210111, -0.098988, 0.553058, -0.270213, 0.552368], [-0.009057, 0.006774, 0.068359, -0.39352, -0.107944, -0.047078, 0.306752, -0.104029, 0.110258], [0.034871, -0.069107, -0.154019, -0.238182, -0.089062, 0.305596, -0.024976, -0.066574, -0.164562], [0.322837, -0.108019, -0.05342, 0.200232, 0.171619, -0.16846, -0.334081, 0.114843, 0.18634]], "network.10.bias": [0.469087, 0.294132, -0.001016, 0.433083, 0.521594, 0.021834, 0.369086, -0.124999, -0.204077], "network.12.weight": [[0.181913, -0.326165, -0.09951, 0.360258, 0.315726, -0.018808, 0.044564, 0.074073, 0.254235], [-0.169158, -0.245406, 0.219867, 0.295, -0.293048, 0.30323, 0.103933, 0.201807, -0.047995], [0.043528, -0.138825, -0.005379, 0.398977, 0.463764, -0.046078, -0.187824, -0.082171, 0.377526], [0.549625, 0.654399, 0.014229, -0.130884, -0.496715, 0.155832, 0.41716, 0.088533, -0.207405], [0.642252, 0.660095, 0.120773, -0.494823, -0.206207, 0.459773, 0.341263, 0.00682, 0.084665], [-0.342322, 0.060889, -0.094015, 0.060808, -0.295723, -0.08627, 0.196437, 0.330935, 0.268282], [-0.028596, 0.527727, 0.072136, -0.055321, -0.054295, 0.416001, 0.310095, -0.132043, 0.078763], [-0.603254, -0.073052, 0.008673, 0.303437, 0.145528, 0.09922, -0.062108, 0.133554, 0.226028], [0.136285, -0.434429, 0.280231, -0.330722, -0.193436, 0.112432, -0.19007, 0.324661, 0.272014]], "network.12.bias": [-0.109146, -0.188102, 0.138261, 0.445623, 0.43511, -0.398729, 0.105758, 0.458176, -0.399113], "network.14.weight": [[-0.15733, -0.177037, -0.256668, -0.195051, -0.054199, 0.321353, 0.060609, -0.123184, 0.236127], [-0.145086, -0.280532, -0.232844, -0.038648, -0.012193, 0.146273, -0.023815, -0.025928, -0.135986], [-0.24745, -0.169679, -0.450586, 0.627283, 0.556973, 0.024105, 0.308259, -0.097901, 0.143424], [0.239374, 0.18012, -0.041402, -0.030519, -0.461993, -0.188303, -0.08635, 0.013968, -0.284836], [-0.241054, -0.196256, -0.37545, 0.48433, 0.569333, 0.296627, 0.359077, -0.233964, -0.027577], [-0.1895, -0.190557, -0.385934, 0.550508, 0.293027, -0.139412, 0.504809, -0.109041, -0.06818], [0.273489, 0.218777, 0.216668, -0.216251, -0.028361, 0.033408, -0.076288, 0.395411, 0.212185], [-0.193663, -0.31585, -0.284591, 0.078932, -0.235651, -0.006732, -0.014834, -0.323138, 0.300077], [0.035069, 0.012961, 0.588285, -0.135153, -0.220161, 0.120169, 0.182096, 0.349012, 0.264082]], "network.14.bias": [0.00914, -0.024327, 0.041279, 0.470771, 0.111266, 0.163954, 0.316813, -0.101017, 0.430642], "network.16.weight": [[-0.170913, 0.257182, -0.508355, 0.397909, -0.549109, -0.422731, 0.38328, -0.085465, 0.524464]], "network.16.bias": [0.061126]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6804448664188385, "train_acc": 0.58, "val_loss": 0.7057276964187622, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6754291653633118, "train_acc": 0.58, "val_loss": 0.6984114050865173, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6713464260101318, "train_acc": 0.58, "val_loss": 0.685447633266449, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6465404629707336, "train_acc": 0.58, "val_loss": 0.6457324028015137, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.60802161693573, "train_acc": 0.505, "val_loss": 0.5012272000312805, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.45447438955307007, "train_acc": 0.64, "val_loss": 0.38922572135925293, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3565048575401306, "train_acc": 0.895, "val_loss": 0.27740809321403503, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.25079716742038727, "train_acc": 0.925, "val_loss": 0.2665623724460602, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.31241869926452637, "train_acc": 0.9, "val_loss": 0.20918089151382446, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.229579359292984, "train_acc": 0.925, "val_loss": 0.1703941375017166, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.1928349807858467, "train_acc": 0.935, "val_loss": 0.09088625758886337, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19907083362340927, "train_acc": 0.935, "val_loss": 0.10419431328773499, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.15675123408436775, "train_acc": 0.945, "val_loss": 0.11493944376707077, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17446269094944, "train_acc": 0.95, "val_loss": 0.11401915550231934, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7057276964187622, "final_val_loss": 0.6457324028015137, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5012272000312805, "final_val_loss": 0.11401915550231934, "initial_val_acc": 0.48, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 10}, "improvement": 0.5, "first_improvement_epoch": 3}}
|
1
| "{\"target_pattern\": \"increasing_pairs\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.82,(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
increasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"mean\": 0.1890304982662201, \"std(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
2
| "{\"target_pattern\": \"alternating\", \"degraded_accuracy\": 0.54, \"improved_accuracy\": 1.0, \"im(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
alternating
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"mean\": 1.3231778144836426, \"std(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 7, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
3
| "{\"target_pattern\": \"starts_with\", \"degraded_accuracy\": 0.58, \"improved_accuracy\": 0.76, \"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\": {\"mean\": 0.32921499013900757, \"st(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
4
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.76, \"improved_accuracy\": 0.92, \"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\": {\"mean\": 0.29245394468307495, \"st(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
5
| "{\"target_pattern\": \"first_last_match\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.88(...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\": {\"mean\": -1.2459149360656738, \"st(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 7, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
6
| "{\"target_pattern\": \"increasing_pairs\", \"degraded_accuracy\": 0.64, \"improved_accuracy\": 0.88(...TRUNCATED)
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
|
increasing_pairs
| "## Model Architecture\nInput Size: 5 (integer indices for 5 sequence positions, vocab size 10)\nHid(...TRUNCATED)
| "{\"neuron_activations\": {\"0\": {\"neuron_profiles\": {\"0\": {\"mean\": 1.014158010482788, \"std\(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
7
| "{\"target_pattern\": \"palindrome\", \"degraded_accuracy\": 0.48, \"improved_accuracy\": 0.98, \"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\": {\"mean\": -0.9443238377571106, \"st(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 7, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
8
| "{\"target_pattern\": \"ends_with\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.9, \"impro(...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\": {\"mean\": 1.0689860582351685, \"std(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 6, \"neurons_per_layer\":(...TRUNCATED)
| "{\"training_history\": [{\"stage\": \"degraded\", \"epoch\": 0, \"global_epoch\": 0, \"train_loss\"(...TRUNCATED)
|
9
| "{\"target_pattern\": \"decreasing_pairs\", \"degraded_accuracy\": 0.5, \"improved_accuracy\": 0.96,(...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\": {\"mean\": 1.021537184715271, \"std\(...TRUNCATED)
| "{\"config\": {\"vocab_size\": 10, \"sequence_length\": 5, \"num_layers\": 7, \"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 | mean, std, pca, fourier |
| Prompt Format | separate |
| Signature Dataset | configs/dataset_gen/signature_dataset.json |
| Model Architecture | |
|---|---|
| Number of Layers | 6 to 8 |
| Neurons per Layer | 7 to 12 |
| 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%) |
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) |
- Downloads last month
- 13
Size of downloaded dataset files:
546 MB
Size of the auto-converted Parquet files:
546 MB
Number of rows:
10,000
Models trained or fine-tuned on maximuspowers/muat-mean-std-fourier-5-pca-10-medium