Transformer Weight Evolution Study
Collection
Attention weight distributions across transformer architectures. • 9 items • Updated
weight_type string | P_w list | sum float32 | mean float32 | std float32 | max float32 | min float32 | skew float32 | kurtosis float32 | differential_entropy float32 | entropy float64 | fit_mu float64 | fit_sigma float64 | kl_vs_empirical_normal float64 | SVD list | P_sv list | head int64 | layer int64 | model string | revision string | step int64 | job_uuid string | job_id string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W_Q | [
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0... | 6.330538 | 0.000012 | 0.019998 | 0.097229 | -0.092896 | 0.002853 | 0.003218 | -2.492146 | -2.4926 | 0.000008 | 0.019992 | 0.000077 | null | null | 0 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
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0... | -0.487957 | -0.000001 | 0.019994 | 0.087219 | -0.096802 | 0.000674 | 0.003404 | -2.49261 | -2.49262 | 0.000016 | 0.02001 | 0.000073 | null | null | 0 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
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0... | -23.353077 | -0.000001 | 0.004523 | 0.026126 | -0.024632 | -0.000431 | 0.045621 | -3.979404 | -3.967165 | -0.000002 | 0.004558 | 0.000197 | [
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1.893121242... | [
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... | 0 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
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0... | -20.893316 | -0.00004 | 0.019999 | 0.092041 | -0.095581 | 0.00571 | -0.002855 | -2.492179 | -2.492607 | -0.00009 | 0.020053 | 0.000081 | null | null | 1 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
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0... | -20.588623 | -0.000039 | 0.020001 | 0.094177 | -0.09668 | -0.001904 | 0.001323 | -2.491985 | -2.492377 | -0.000048 | 0.020055 | 0.000074 | null | null | 1 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
W_QK | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | 12.962166 | 0.000001 | 0.004526 | 0.024058 | -0.025499 | 0.000972 | 0.047321 | -3.978768 | -3.966462 | -0.000002 | 0.004559 | 0.000199 | [2.038569211959839,2.0233378410339355,2.009361743927002,1.9970316886901855,1.995719075202942,1.98588(...TRUNCATED) | [0.9590624999999999,0.0304541015625,0.00048339843750000005,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0(...TRUNCATED) | 1 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
W_Q | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | -2.282757 | -0.000004 | 0.020001 | 0.101624 | -0.101013 | -0.000985 | -0.01554 | -2.491547 | -2.49234 | -0.00002 | 0.020071 | 0.000068 | null | null | 2 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
W_K | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | -11.266601 | -0.000021 | 0.019983 | 0.088501 | -0.088501 | 0.005903 | -0.00178 | -2.493401 | -2.493273 | -0.000042 | 0.020006 | 0.000095 | null | null | 2 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
W_QK | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | 14.441526 | 0.000001 | 0.004522 | 0.024323 | -0.026471 | 0.000169 | 0.045331 | -3.979689 | -3.967453 | 0.000001 | 0.004555 | 0.000197 | [2.048527240753174,2.0096547603607178,2.006240129470825,1.998063325881958,1.9833934307098389,1.97744(...TRUNCATED) | [0.9590624999999999,0.030695800781249998,0.00024169921875000002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,(...TRUNCATED) | 2 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
W_Q | [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0(...TRUNCATED) | -10.97129 | -0.000021 | 0.020034 | 0.091675 | -0.093384 | 0.000047 | 0.012367 | -2.490565 | -2.490747 | -0.000031 | 0.020024 | 0.000081 | null | null | 3 | 0 | pythia-6.9b-deduped | step0 | 0 | 126c2a58 | 20260127_194153 |
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