layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.03
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 2.02
8.65
| alpha_weighted
float64 -20.71
-1.63
| entropy
float64 0.77
1.55
| has_esd
bool 1
class | lambda_max
float32 0
0.2
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -20.64
-1.6
| log_norm
float32 -1.48
-0.16
| log_spectral_norm
float32 -2.44
-0.7
| matrix_rank
int64 64
64
| norm
float32 0.03
0.69
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
64
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.19
1.31
| spectral_norm
float32 0
0.2
| stable_rank
float32 1.95
30.3
| status
stringclasses 1
value | sv_max
float64 0.06
0.45
| sv_min
float64 0
0
| warning
stringclasses 2
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0
0.2
| xmin
float64 0
0.01
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | model.layers.0.mlp.down_proj | 0.052897 | 4,096 | 14,336 | 3.5 | 2.677719 | -3.456077 | 1.488533 | true | 0.051206 | dense | -3.261402 | -0.390622 | -1.29068 | 64 | 0.406797 | 4,096 | 26 | 4,032 | 1 | 0.329028 | 0.051206 | 7.944337 | success | 0.226287 | 0.000001 | 4,032 | 0.051206 | 0.004364 |
|
1 | model.layers.0.mlp.gate_proj | 0.06163 | 4,096 | 14,336 | 3.5 | 2.547375 | -2.586054 | 1.457833 | true | 0.096564 | dense | -2.50109 | -0.26605 | -1.015184 | 64 | 0.541939 | 4,096 | 29 | 4,032 | 1 | 0.28734 | 0.096564 | 5.612213 | success | 0.310748 | 0.000001 | 4,032 | 0.096564 | 0.005125 |
|
2 | model.layers.0.mlp.up_proj | 0.067622 | 4,096 | 14,336 | 3.5 | 2.495929 | -2.590564 | 1.45299 | true | 0.09164 | dense | -2.473998 | -0.271746 | -1.037916 | 64 | 0.534877 | 4,096 | 34 | 4,032 | 1 | 0.25655 | 0.09164 | 5.836728 | success | 0.302721 | 0.000001 | 4,032 | 0.09164 | 0.004495 |
|
3 | model.layers.0.self_attn.k_proj | 0.081234 | 1,024 | 4,096 | 4 | 3.123636 | -3.951471 | 1.003636 | true | 0.054322 | dense | -3.861217 | -0.531794 | -1.265023 | 64 | 0.293905 | 1,024 | 64 | 960 | 1 | 0.265454 | 0.054322 | 5.410403 | success | 0.233071 | 0.000001 | 960 | 0.054322 | 0.002011 |
|
4 | model.layers.0.self_attn.o_proj | 0.059503 | 4,096 | 4,096 | 1 | 2.024146 | -2.355433 | 1.318973 | true | 0.068601 | dense | -2.190306 | -0.589637 | -1.163668 | 64 | 0.257254 | 4,096 | 30 | 4,032 | 1 | 0.186983 | 0.068601 | 3.749991 | success | 0.261919 | 0 | 4,032 | 0.068601 | 0.001346 |
|
5 | model.layers.0.self_attn.q_proj | 0.071362 | 4,096 | 4,096 | 1 | 2.232562 | -2.12743 | 1.414472 | true | 0.111453 | dense | -2.032254 | -0.308862 | -0.95291 | 64 | 0.491064 | 4,096 | 18 | 4,032 | 1 | 0.290518 | 0.111453 | 4.406033 | success | 0.333845 | 0 | 4,032 | 0.111453 | 0.004887 |
|
6 | model.layers.0.self_attn.v_proj | 0.077723 | 1,024 | 4,096 | 4 | 2.064591 | -3.133218 | 0.918566 | true | 0.030367 | dense | -3.043222 | -0.983914 | -1.517598 | 64 | 0.103773 | 1,024 | 17 | 960 | 1 | 0.258201 | 0.030367 | 3.417306 | success | 0.174261 | 0.000001 | 960 | 0.030367 | 0.000892 |
|
7 | model.layers.1.mlp.down_proj | 0.064719 | 4,096 | 14,336 | 3.5 | 3.166249 | -4.832687 | 1.524829 | true | 0.029764 | dense | -4.576148 | -0.452895 | -1.526313 | 64 | 0.352456 | 4,096 | 24 | 4,032 | 1 | 0.442184 | 0.029764 | 11.84182 | success | 0.172522 | 0.000001 | 4,032 | 0.029764 | 0.004417 |
|
8 | model.layers.1.mlp.gate_proj | 0.085658 | 4,096 | 14,336 | 3.5 | 2.889781 | -4.001024 | 1.503489 | true | 0.041253 | dense | -3.746318 | -0.390278 | -1.384542 | 64 | 0.40712 | 4,096 | 28 | 4,032 | 1 | 0.357135 | 0.041253 | 9.868801 | success | 0.203109 | 0.000001 | 4,032 | 0.041253 | 0.0044 |
|
9 | model.layers.1.mlp.up_proj | 0.104817 | 4,096 | 14,336 | 3.5 | 2.726057 | -3.817446 | 1.498305 | true | 0.039778 | dense | -3.449987 | -0.381046 | -1.400355 | 64 | 0.415866 | 4,096 | 24 | 4,032 | 1 | 0.35233 | 0.039778 | 10.454619 | success | 0.199445 | 0.000001 | 4,032 | 0.039778 | 0.004627 |
|
10 | model.layers.1.self_attn.k_proj | 0.07634 | 1,024 | 4,096 | 4 | 2.42049 | -3.081766 | 1.022545 | true | 0.053309 | dense | -2.961904 | -0.531019 | -1.273199 | 64 | 0.29443 | 1,024 | 16 | 960 | 1 | 0.355122 | 0.053309 | 5.523074 | success | 0.230887 | 0.000001 | 960 | 0.053309 | 0.003529 |
|
11 | model.layers.1.self_attn.o_proj | 0.047832 | 4,096 | 4,096 | 1 | 2.456333 | -3.962271 | 1.454103 | true | 0.024373 | dense | -3.674764 | -0.75138 | -1.613084 | 64 | 0.177264 | 4,096 | 35 | 4,032 | 1 | 0.246165 | 0.024373 | 7.272831 | success | 0.15612 | 0 | 4,032 | 0.024373 | 0.001432 |
|
12 | model.layers.1.self_attn.q_proj | 0.040733 | 4,096 | 4,096 | 1 | 2.347499 | -1.631893 | 1.372005 | true | 0.201761 | dense | -1.596231 | -0.160934 | -0.695162 | 64 | 0.690344 | 4,096 | 26 | 4,032 | 1 | 0.264266 | 0.201761 | 3.421591 | success | 0.449178 | 0 | 4,032 | 0.201761 | 0.005533 |
|
13 | model.layers.1.self_attn.v_proj | 0.076101 | 1,024 | 4,096 | 4 | 2.199378 | -2.759386 | 0.769733 | true | 0.055639 | dense | -2.754431 | -0.964904 | -1.254621 | 64 | 0.108417 | 1,024 | 12 | 960 | 1 | 0.346231 | 0.055639 | 1.948576 | success | 0.235879 | 0.000001 | 960 | 0.055639 | 0.000913 |
|
14 | model.layers.2.mlp.down_proj | 0.087654 | 4,096 | 14,336 | 3.5 | 2.953663 | -4.509285 | 1.520652 | true | 0.029739 | dense | -4.330108 | -0.516344 | -1.526675 | 64 | 0.304548 | 4,096 | 21 | 4,032 | 1 | 0.426324 | 0.029739 | 10.240739 | success | 0.17245 | 0.000001 | 4,032 | 0.029739 | 0.003887 |
|
15 | model.layers.2.mlp.gate_proj | 0.068122 | 4,096 | 14,336 | 3.5 | 2.794675 | -3.954023 | 1.497494 | true | 0.038473 | dense | -3.703116 | -0.448609 | -1.414842 | 64 | 0.355952 | 4,096 | 28 | 4,032 | 1 | 0.339162 | 0.038473 | 9.251945 | success | 0.196146 | 0.000001 | 4,032 | 0.038473 | 0.003766 |
|
16 | model.layers.2.mlp.up_proj | 0.083981 | 4,096 | 14,336 | 3.5 | 2.632966 | -3.601815 | 1.483391 | true | 0.042858 | dense | -3.368448 | -0.45853 | -1.367969 | 64 | 0.347913 | 4,096 | 27 | 4,032 | 1 | 0.314264 | 0.042858 | 8.117814 | success | 0.207022 | 0.000001 | 4,032 | 0.042858 | 0.003515 |
|
17 | model.layers.2.self_attn.k_proj | 0.144103 | 1,024 | 4,096 | 4 | 5.325873 | -8.750114 | 1.074845 | true | 0.022754 | dense | -8.74541 | -0.788276 | -1.642945 | 64 | 0.162826 | 1,024 | 64 | 960 | 1 | 0.540734 | 0.022754 | 7.155963 | success | 0.150844 | 0.000001 | 960 | 0.022754 | 0.001726 |
|
18 | model.layers.2.self_attn.o_proj | 0.053145 | 4,096 | 4,096 | 1 | 2.562537 | -4.087537 | 1.438093 | true | 0.025403 | dense | -3.999081 | -0.885766 | -1.595113 | 64 | 0.130087 | 4,096 | 31 | 4,032 | 1 | 0.28064 | 0.025403 | 5.120908 | success | 0.159383 | 0 | 4,032 | 0.025403 | 0.001113 |
|
19 | model.layers.2.self_attn.q_proj | 0.068557 | 4,096 | 4,096 | 1 | 3.245647 | -5.122339 | 1.513713 | true | 0.026411 | dense | -4.95726 | -0.597474 | -1.578218 | 64 | 0.252654 | 4,096 | 27 | 4,032 | 1 | 0.432175 | 0.026411 | 9.566302 | success | 0.162514 | 0 | 4,032 | 0.026411 | 0.002975 |
|
20 | model.layers.2.self_attn.v_proj | 0.074834 | 1,024 | 4,096 | 4 | 2.862386 | -6.276086 | 1.069041 | true | 0.006418 | dense | -6.222477 | -1.363557 | -2.192607 | 64 | 0.043296 | 1,024 | 17 | 960 | 1 | 0.451695 | 0.006418 | 6.746058 | success | 0.080112 | 0.000001 | 960 | 0.006418 | 0.00055 |
|
21 | model.layers.3.mlp.down_proj | 0.083451 | 4,096 | 14,336 | 3.5 | 3.073457 | -4.79474 | 1.522787 | true | 0.027539 | dense | -4.615598 | -0.534599 | -1.560048 | 64 | 0.292012 | 4,096 | 22 | 4,032 | 1 | 0.442063 | 0.027539 | 10.60348 | success | 0.16595 | 0.000001 | 4,032 | 0.027539 | 0.003667 |
|
22 | model.layers.3.mlp.gate_proj | 0.088245 | 4,096 | 14,336 | 3.5 | 3.076395 | -4.664228 | 1.514846 | true | 0.03047 | dense | -4.428282 | -0.476946 | -1.516134 | 64 | 0.333468 | 4,096 | 32 | 4,032 | 1 | 0.367058 | 0.03047 | 10.944314 | success | 0.174555 | 0.000001 | 4,032 | 0.03047 | 0.003589 |
|
23 | model.layers.3.mlp.up_proj | 0.107826 | 4,096 | 14,336 | 3.5 | 2.699548 | -3.904319 | 1.5027 | true | 0.035786 | dense | -3.679445 | -0.484377 | -1.446286 | 64 | 0.327811 | 4,096 | 21 | 4,032 | 1 | 0.370872 | 0.035786 | 9.160287 | success | 0.189172 | 0.000001 | 4,032 | 0.035786 | 0.003935 |
|
24 | model.layers.3.self_attn.k_proj | 0.114861 | 1,024 | 4,096 | 4 | 2.347158 | -3.257596 | 1.031844 | true | 0.040936 | dense | -3.199793 | -0.706221 | -1.38789 | 64 | 0.196689 | 1,024 | 8 | 960 | 1 | 0.476292 | 0.040936 | 4.804727 | success | 0.202328 | 0.000001 | 960 | 0.040936 | 0.002814 |
|
25 | model.layers.3.self_attn.o_proj | 0.053945 | 4,096 | 4,096 | 1 | 2.784179 | -4.747886 | 1.478179 | true | 0.01971 | dense | -4.662831 | -0.906983 | -1.705309 | 64 | 0.123884 | 4,096 | 23 | 4,032 | 1 | 0.372027 | 0.01971 | 6.285302 | success | 0.140393 | 0 | 4,032 | 0.01971 | 0.001391 |
|
26 | model.layers.3.self_attn.q_proj | 0.074233 | 4,096 | 4,096 | 1 | 2.802199 | -3.856473 | 1.489978 | true | 0.04205 | dense | -3.66984 | -0.456454 | -1.376231 | 64 | 0.34958 | 4,096 | 33 | 4,032 | 1 | 0.313723 | 0.04205 | 8.313359 | success | 0.205062 | 0 | 4,032 | 0.04205 | 0.003464 |
|
27 | model.layers.3.self_attn.v_proj | 0.077611 | 1,024 | 4,096 | 4 | 2.931664 | -6.616693 | 1.084328 | true | 0.005534 | dense | -6.554824 | -1.373657 | -2.256975 | 64 | 0.0423 | 1,024 | 12 | 960 | 1 | 0.557623 | 0.005534 | 7.64396 | success | 0.07439 | 0.000001 | 960 | 0.005534 | 0.000605 |
|
28 | model.layers.4.mlp.down_proj | 0.073888 | 4,096 | 14,336 | 3.5 | 3.095705 | -4.439551 | 1.505269 | true | 0.036804 | dense | -4.391367 | -0.569872 | -1.4341 | 64 | 0.269233 | 4,096 | 25 | 4,032 | 1 | 0.419141 | 0.036804 | 7.315219 | success | 0.191845 | 0.000001 | 4,032 | 0.036804 | 0.003111 |
|
29 | model.layers.4.mlp.gate_proj | 0.096931 | 4,096 | 14,336 | 3.5 | 2.943779 | -4.451378 | 1.517809 | true | 0.030752 | dense | -4.217382 | -0.478373 | -1.512131 | 64 | 0.332374 | 4,096 | 25 | 4,032 | 1 | 0.388756 | 0.030752 | 10.808311 | success | 0.175362 | 0.000001 | 4,032 | 0.030752 | 0.003887 |
|
30 | model.layers.4.mlp.up_proj | 0.083876 | 4,096 | 14,336 | 3.5 | 2.721092 | -3.737681 | 1.491075 | true | 0.042306 | dense | -3.624831 | -0.515658 | -1.373596 | 64 | 0.305029 | 4,096 | 22 | 4,032 | 1 | 0.366938 | 0.042306 | 7.21004 | success | 0.205685 | 0.000001 | 4,032 | 0.042306 | 0.003489 |
|
31 | model.layers.4.self_attn.k_proj | 0.104467 | 1,024 | 4,096 | 4 | 3.135139 | -5.976866 | 1.100359 | true | 0.012405 | dense | -5.860833 | -0.897017 | -1.906412 | 64 | 0.12676 | 1,024 | 12 | 960 | 1 | 0.616362 | 0.012405 | 10.218679 | success | 0.111377 | 0.000001 | 960 | 0.012405 | 0.001908 |
|
32 | model.layers.4.self_attn.o_proj | 0.070967 | 4,096 | 4,096 | 1 | 2.843256 | -4.698893 | 1.450936 | true | 0.022251 | dense | -4.67105 | -0.976651 | -1.652645 | 64 | 0.105523 | 4,096 | 23 | 4,032 | 1 | 0.384346 | 0.022251 | 4.742352 | success | 0.149169 | 0 | 4,032 | 0.022251 | 0.001125 |
|
33 | model.layers.4.self_attn.q_proj | 0.064561 | 4,096 | 4,096 | 1 | 3.171323 | -5.389224 | 1.515203 | true | 0.019982 | dense | -5.029191 | -0.61956 | -1.699361 | 64 | 0.240127 | 4,096 | 33 | 4,032 | 1 | 0.377979 | 0.019982 | 12.017151 | success | 0.141358 | 0 | 4,032 | 0.019982 | 0.002645 |
|
34 | model.layers.4.self_attn.v_proj | 0.100189 | 1,024 | 4,096 | 4 | 2.517159 | -5.668791 | 1.079474 | true | 0.005597 | dense | -5.568282 | -1.396234 | -2.25206 | 64 | 0.040157 | 1,024 | 8 | 960 | 1 | 0.536397 | 0.005597 | 7.175061 | success | 0.074812 | 0.000001 | 960 | 0.005597 | 0.000613 |
|
35 | model.layers.5.mlp.down_proj | 0.068227 | 4,096 | 14,336 | 3.5 | 2.857705 | -4.089038 | 1.503931 | true | 0.037078 | dense | -4.030817 | -0.584083 | -1.430882 | 64 | 0.260565 | 4,096 | 16 | 4,032 | 1 | 0.464426 | 0.037078 | 7.027461 | success | 0.192557 | 0.000001 | 4,032 | 0.037078 | 0.003474 |
|
36 | model.layers.5.mlp.gate_proj | 0.08291 | 4,096 | 14,336 | 3.5 | 3.031947 | -4.701401 | 1.526677 | true | 0.028144 | dense | -4.460686 | -0.47992 | -1.550621 | 64 | 0.331192 | 4,096 | 20 | 4,032 | 1 | 0.454357 | 0.028144 | 11.767975 | success | 0.16776 | 0.000001 | 4,032 | 0.028144 | 0.004329 |
|
37 | model.layers.5.mlp.up_proj | 0.08546 | 4,096 | 14,336 | 3.5 | 2.778091 | -3.848164 | 1.49447 | true | 0.041192 | dense | -3.75802 | -0.534364 | -1.385183 | 64 | 0.29217 | 4,096 | 22 | 4,032 | 1 | 0.37909 | 0.041192 | 7.092812 | success | 0.202959 | 0.000001 | 4,032 | 0.041192 | 0.003339 |
|
38 | model.layers.5.self_attn.k_proj | 0.107691 | 1,024 | 4,096 | 4 | 2.688029 | -4.948406 | 1.094828 | true | 0.014424 | dense | -4.833602 | -0.906374 | -1.840905 | 64 | 0.124058 | 1,024 | 8 | 960 | 1 | 0.596808 | 0.014424 | 8.600653 | success | 0.120101 | 0.000001 | 960 | 0.014424 | 0.001872 |
|
39 | model.layers.5.self_attn.o_proj | 0.122563 | 4,096 | 4,096 | 1 | 2.618946 | -4.492254 | 1.475117 | true | 0.019262 | dense | -4.436765 | -0.970445 | -1.715291 | 64 | 0.107042 | 4,096 | 13 | 4,032 | 1 | 0.449015 | 0.019262 | 5.557077 | success | 0.138789 | 0 | 4,032 | 0.019262 | 0.001453 |
|
40 | model.layers.5.self_attn.q_proj | 0.063356 | 4,096 | 4,096 | 1 | 3.55331 | -6.197344 | 1.53308 | true | 0.018026 | dense | -6.054521 | -0.676972 | -1.744104 | 64 | 0.210392 | 4,096 | 23 | 4,032 | 1 | 0.532402 | 0.018026 | 11.671661 | success | 0.13426 | 0 | 4,032 | 0.018026 | 0.002775 |
|
41 | model.layers.5.self_attn.v_proj | 0.115764 | 1,024 | 4,096 | 4 | 2.647311 | -6.116906 | 1.086778 | true | 0.004891 | dense | -5.990173 | -1.397493 | -2.310611 | 64 | 0.040041 | 1,024 | 9 | 960 | 1 | 0.549104 | 0.004891 | 8.186871 | success | 0.069935 | 0.000001 | 960 | 0.004891 | 0.000592 |
|
42 | model.layers.6.mlp.down_proj | 0.063407 | 4,096 | 14,336 | 3.5 | 2.8953 | -4.088001 | 1.500252 | true | 0.038731 | dense | -4.040085 | -0.582365 | -1.411944 | 64 | 0.261598 | 4,096 | 21 | 4,032 | 1 | 0.413588 | 0.038731 | 6.754276 | success | 0.196801 | 0.000001 | 4,032 | 0.038731 | 0.003113 |
|
43 | model.layers.6.mlp.gate_proj | 0.068424 | 4,096 | 14,336 | 3.5 | 2.867297 | -4.338855 | 1.52398 | true | 0.030675 | dense | -4.113379 | -0.478413 | -1.513222 | 64 | 0.332344 | 4,096 | 19 | 4,032 | 1 | 0.428387 | 0.030675 | 10.834498 | success | 0.175142 | 0.000001 | 4,032 | 0.030675 | 0.004278 |
|
44 | model.layers.6.mlp.up_proj | 0.06568 | 4,096 | 14,336 | 3.5 | 2.65465 | -3.628529 | 1.488785 | true | 0.042968 | dense | -3.535722 | -0.541657 | -1.366858 | 64 | 0.287305 | 4,096 | 21 | 4,032 | 1 | 0.361074 | 0.042968 | 6.68653 | success | 0.207287 | 0.000001 | 4,032 | 0.042968 | 0.003247 |
|
45 | model.layers.6.self_attn.k_proj | 0.107168 | 1,024 | 4,096 | 4 | 3.180479 | -6.081132 | 1.103667 | true | 0.012246 | dense | -5.998892 | -0.912065 | -1.912018 | 64 | 0.122443 | 1,024 | 10 | 960 | 1 | 0.689528 | 0.012246 | 9.998901 | success | 0.11066 | 0.000001 | 960 | 0.012246 | 0.001901 |
|
46 | model.layers.6.self_attn.o_proj | 0.083761 | 4,096 | 4,096 | 1 | 2.793253 | -4.715604 | 1.45369 | true | 0.020502 | dense | -4.684449 | -1.011275 | -1.688212 | 64 | 0.097437 | 4,096 | 18 | 4,032 | 1 | 0.422674 | 0.020502 | 4.752665 | success | 0.143184 | 0 | 4,032 | 0.020502 | 0.001114 |
|
47 | model.layers.6.self_attn.q_proj | 0.059729 | 4,096 | 4,096 | 1 | 3.488664 | -6.219897 | 1.529448 | true | 0.016486 | dense | -5.980991 | -0.696511 | -1.782888 | 64 | 0.201136 | 4,096 | 27 | 4,032 | 1 | 0.478944 | 0.016486 | 12.200483 | success | 0.128397 | 0 | 4,032 | 0.016486 | 0.002489 |
|
48 | model.layers.6.self_attn.v_proj | 0.118223 | 1,024 | 4,096 | 4 | 2.76059 | -6.355218 | 1.085289 | true | 0.004987 | dense | -6.287284 | -1.428893 | -2.302124 | 64 | 0.037248 | 1,024 | 8 | 960 | 1 | 0.622462 | 0.004987 | 7.468451 | success | 0.070622 | 0.000001 | 960 | 0.004987 | 0.000601 |
|
49 | model.layers.7.mlp.down_proj | 0.076932 | 4,096 | 14,336 | 3.5 | 2.909538 | -4.029174 | 1.494041 | true | 0.041227 | dense | -3.992391 | -0.58818 | -1.384816 | 64 | 0.258119 | 4,096 | 19 | 4,032 | 1 | 0.438078 | 0.041227 | 6.260892 | success | 0.203045 | 0.000001 | 4,032 | 0.041227 | 0.003141 |
|
50 | model.layers.7.mlp.gate_proj | 0.075642 | 4,096 | 14,336 | 3.5 | 2.8637 | -4.388342 | 1.528604 | true | 0.029349 | dense | -4.1344 | -0.467785 | -1.532403 | 64 | 0.340577 | 4,096 | 16 | 4,032 | 1 | 0.465925 | 0.029349 | 11.60428 | success | 0.171316 | 0.000001 | 4,032 | 0.029349 | 0.004747 |
|
51 | model.layers.7.mlp.up_proj | 0.075565 | 4,096 | 14,336 | 3.5 | 2.645595 | -3.624205 | 1.491818 | true | 0.042668 | dense | -3.534071 | -0.541343 | -1.369902 | 64 | 0.287512 | 4,096 | 18 | 4,032 | 1 | 0.38787 | 0.042668 | 6.738426 | success | 0.206561 | 0.000001 | 4,032 | 0.042668 | 0.003534 |
|
52 | model.layers.7.self_attn.k_proj | 0.075297 | 1,024 | 4,096 | 4 | 5.854554 | -11.795797 | 1.117029 | true | 0.009665 | dense | -11.787982 | -0.897848 | -2.014807 | 64 | 0.126518 | 1,024 | 64 | 960 | 1 | 0.606819 | 0.009665 | 13.09058 | success | 0.09831 | 0.000001 | 960 | 0.009665 | 0.001517 |
|
53 | model.layers.7.self_attn.o_proj | 0.096781 | 4,096 | 4,096 | 1 | 2.43176 | -4.131487 | 1.463078 | true | 0.02 | dense | -4.082821 | -1.014456 | -1.69897 | 64 | 0.096726 | 4,096 | 9 | 4,032 | 1 | 0.477253 | 0.02 | 4.836306 | success | 0.141421 | 0 | 4,032 | 0.02 | 0.001397 |
|
54 | model.layers.7.self_attn.q_proj | 0.115064 | 4,096 | 4,096 | 1 | 3.258742 | -6.096869 | 1.538012 | true | 0.013461 | dense | -5.723896 | -0.697313 | -1.870927 | 64 | 0.200765 | 4,096 | 15 | 4,032 | 1 | 0.583205 | 0.013461 | 14.914696 | success | 0.116021 | 0 | 4,032 | 0.013461 | 0.00294 |
|
55 | model.layers.7.self_attn.v_proj | 0.130597 | 1,024 | 4,096 | 4 | 2.52747 | -5.850276 | 1.092207 | true | 0.004845 | dense | -5.727162 | -1.403724 | -2.314677 | 64 | 0.039471 | 1,024 | 7 | 960 | 1 | 0.577329 | 0.004845 | 8.146166 | success | 0.069608 | 0.000001 | 960 | 0.004845 | 0.000611 |
|
56 | model.layers.8.mlp.down_proj | 0.073526 | 4,096 | 14,336 | 3.5 | 2.82947 | -3.75068 | 1.479343 | true | 0.047252 | dense | -3.721924 | -0.587064 | -1.325577 | 64 | 0.258783 | 4,096 | 19 | 4,032 | 1 | 0.419709 | 0.047252 | 5.476626 | success | 0.217376 | 0.000001 | 4,032 | 0.047252 | 0.003003 |
|
57 | model.layers.8.mlp.gate_proj | 0.073727 | 4,096 | 14,336 | 3.5 | 2.940206 | -4.352934 | 1.523923 | true | 0.033076 | dense | -4.157378 | -0.456073 | -1.480486 | 64 | 0.349886 | 4,096 | 19 | 4,032 | 1 | 0.445114 | 0.033076 | 10.578228 | success | 0.181868 | 0.000001 | 4,032 | 0.033076 | 0.00456 |
|
58 | model.layers.8.mlp.up_proj | 0.087432 | 4,096 | 14,336 | 3.5 | 2.616947 | -3.46615 | 1.481919 | true | 0.047369 | dense | -3.387244 | -0.533119 | -1.324501 | 64 | 0.293009 | 4,096 | 19 | 4,032 | 1 | 0.370953 | 0.047369 | 6.185611 | success | 0.217645 | 0.000001 | 4,032 | 0.047369 | 0.003399 |
|
59 | model.layers.8.self_attn.k_proj | 0.1027 | 1,024 | 4,096 | 4 | 5.653809 | -11.045854 | 1.103938 | true | 0.011125 | dense | -11.030598 | -0.935479 | -1.953701 | 64 | 0.116017 | 1,024 | 64 | 960 | 1 | 0.581726 | 0.011125 | 10.428518 | success | 0.105475 | 0.000001 | 960 | 0.011125 | 0.001336 |
|
60 | model.layers.8.self_attn.o_proj | 0.09223 | 4,096 | 4,096 | 1 | 2.461574 | -4.15559 | 1.454472 | true | 0.020503 | dense | -4.108942 | -1.018538 | -1.688184 | 64 | 0.095821 | 4,096 | 10 | 4,032 | 1 | 0.46219 | 0.020503 | 4.673542 | success | 0.143188 | 0 | 4,032 | 0.020503 | 0.001352 |
|
61 | model.layers.8.self_attn.q_proj | 0.084565 | 4,096 | 4,096 | 1 | 3.152206 | -5.503796 | 1.522169 | true | 0.017947 | dense | -5.27548 | -0.713958 | -1.746014 | 64 | 0.193216 | 4,096 | 18 | 4,032 | 1 | 0.50728 | 0.017947 | 10.766051 | success | 0.133965 | 0 | 4,032 | 0.017947 | 0.00263 |
|
62 | model.layers.8.self_attn.v_proj | 0.111446 | 1,024 | 4,096 | 4 | 2.77145 | -6.400331 | 1.088291 | true | 0.004905 | dense | -6.323427 | -1.418579 | -2.30938 | 64 | 0.038144 | 1,024 | 8 | 960 | 1 | 0.626302 | 0.004905 | 7.7768 | success | 0.070034 | 0.000001 | 960 | 0.004905 | 0.000599 |
|
63 | model.layers.9.mlp.down_proj | 0.057908 | 4,096 | 14,336 | 3.5 | 2.742288 | -3.60653 | 1.476515 | true | 0.0484 | dense | -3.575599 | -0.588558 | -1.315154 | 64 | 0.257895 | 4,096 | 16 | 4,032 | 1 | 0.435572 | 0.0484 | 5.328387 | success | 0.22 | 0.000001 | 4,032 | 0.0484 | 0.003219 |
|
64 | model.layers.9.mlp.gate_proj | 0.060009 | 4,096 | 14,336 | 3.5 | 2.898617 | -4.121823 | 1.515991 | true | 0.037845 | dense | -3.977617 | -0.461977 | -1.421996 | 64 | 0.345162 | 4,096 | 17 | 4,032 | 1 | 0.460482 | 0.037845 | 9.120508 | success | 0.194537 | 0.000001 | 4,032 | 0.037845 | 0.004708 |
|
65 | model.layers.9.mlp.up_proj | 0.052531 | 4,096 | 14,336 | 3.5 | 2.673129 | -3.463093 | 1.477563 | true | 0.050638 | dense | -3.404474 | -0.531199 | -1.29552 | 64 | 0.294307 | 4,096 | 21 | 4,032 | 1 | 0.365107 | 0.050638 | 5.811941 | success | 0.22503 | 0.000001 | 4,032 | 0.050638 | 0.003268 |
|
66 | model.layers.9.self_attn.k_proj | 0.060317 | 1,024 | 4,096 | 4 | 6.679092 | -15.305076 | 1.130864 | true | 0.005111 | dense | -15.266985 | -0.937667 | -2.291491 | 64 | 0.115434 | 1,024 | 63 | 960 | 1 | 0.715498 | 0.005111 | 22.58519 | success | 0.071492 | 0.000001 | under-trained | 960 | 0.005111 | 0.001483 |
67 | model.layers.9.self_attn.o_proj | 0.089964 | 4,096 | 4,096 | 1 | 2.427394 | -4.082041 | 1.448539 | true | 0.020813 | dense | -4.047767 | -1.042092 | -1.681656 | 64 | 0.090763 | 4,096 | 11 | 4,032 | 1 | 0.430375 | 0.020813 | 4.360779 | success | 0.144269 | 0 | 4,032 | 0.020813 | 0.001153 |
|
68 | model.layers.9.self_attn.q_proj | 0.08705 | 4,096 | 4,096 | 1 | 3.412095 | -6.577103 | 1.545219 | true | 0.011814 | dense | -6.312881 | -0.747492 | -1.927585 | 64 | 0.178858 | 4,096 | 14 | 4,032 | 1 | 0.64466 | 0.011814 | 15.138855 | success | 0.108695 | 0 | 4,032 | 0.011814 | 0.002687 |
|
69 | model.layers.9.self_attn.v_proj | 0.09917 | 1,024 | 4,096 | 4 | 2.657595 | -6.158284 | 1.08253 | true | 0.004817 | dense | -6.091413 | -1.466603 | -2.317239 | 64 | 0.034151 | 1,024 | 8 | 960 | 1 | 0.586048 | 0.004817 | 7.08984 | success | 0.069403 | 0.000001 | 960 | 0.004817 | 0.000531 |
|
70 | model.layers.10.mlp.down_proj | 0.057096 | 4,096 | 14,336 | 3.5 | 2.766404 | -3.423776 | 1.448927 | true | 0.057859 | dense | -3.408703 | -0.598612 | -1.237627 | 64 | 0.251993 | 4,096 | 19 | 4,032 | 1 | 0.405241 | 0.057859 | 4.35527 | success | 0.24054 | 0.000001 | 4,032 | 0.057859 | 0.002774 |
|
71 | model.layers.10.mlp.gate_proj | 0.050086 | 4,096 | 14,336 | 3.5 | 2.870972 | -3.932424 | 1.504084 | true | 0.042686 | dense | -3.820135 | -0.471952 | -1.369718 | 64 | 0.337325 | 4,096 | 21 | 4,032 | 1 | 0.40828 | 0.042686 | 7.902541 | success | 0.206605 | 0.000001 | 4,032 | 0.042686 | 0.004129 |
|
72 | model.layers.10.mlp.up_proj | 0.059118 | 4,096 | 14,336 | 3.5 | 2.54132 | -3.159267 | 1.457901 | true | 0.057127 | dense | -3.113346 | -0.549877 | -1.24316 | 64 | 0.281918 | 4,096 | 17 | 4,032 | 1 | 0.373825 | 0.057127 | 4.93495 | success | 0.239012 | 0.000001 | 4,032 | 0.057127 | 0.003304 |
|
73 | model.layers.10.self_attn.k_proj | 0.079687 | 1,024 | 4,096 | 4 | 6.221469 | -13.191227 | 1.12411 | true | 0.007581 | dense | -13.173883 | -0.904894 | -2.120275 | 64 | 0.124482 | 1,024 | 64 | 960 | 1 | 0.652684 | 0.007581 | 16.420292 | success | 0.087069 | 0.000001 | under-trained | 960 | 0.007581 | 0.001542 |
74 | model.layers.10.self_attn.o_proj | 0.104255 | 4,096 | 4,096 | 1 | 2.39271 | -3.957537 | 1.440596 | true | 0.022182 | dense | -3.929246 | -1.042654 | -1.653998 | 64 | 0.090645 | 4,096 | 8 | 4,032 | 1 | 0.492397 | 0.022182 | 4.086422 | success | 0.148937 | 0 | 4,032 | 0.022182 | 0.001372 |
|
75 | model.layers.10.self_attn.q_proj | 0.102157 | 4,096 | 4,096 | 1 | 3.201262 | -5.802851 | 1.532303 | true | 0.015393 | dense | -5.534375 | -0.723382 | -1.812676 | 64 | 0.189068 | 4,096 | 15 | 4,032 | 1 | 0.568363 | 0.015393 | 12.282715 | success | 0.124069 | 0 | 4,032 | 0.015393 | 0.002681 |
|
76 | model.layers.10.self_attn.v_proj | 0.085466 | 1,024 | 4,096 | 4 | 2.820915 | -6.457655 | 1.080996 | true | 0.005138 | dense | -6.411704 | -1.448764 | -2.289206 | 64 | 0.035582 | 1,024 | 10 | 960 | 1 | 0.575824 | 0.005138 | 6.925353 | success | 0.07168 | 0.000001 | 960 | 0.005138 | 0.000503 |
|
77 | model.layers.11.mlp.down_proj | 0.080344 | 4,096 | 14,336 | 3.5 | 2.781667 | -3.513401 | 1.45523 | true | 0.054569 | dense | -3.497021 | -0.608057 | -1.263056 | 64 | 0.246571 | 4,096 | 17 | 4,032 | 1 | 0.432118 | 0.054569 | 4.518544 | success | 0.2336 | 0.000001 | 4,032 | 0.054569 | 0.00289 |
|
78 | model.layers.11.mlp.gate_proj | 0.052737 | 4,096 | 14,336 | 3.5 | 2.832129 | -3.842099 | 1.504786 | true | 0.043993 | dense | -3.741266 | -0.467105 | -1.356612 | 64 | 0.341111 | 4,096 | 16 | 4,032 | 1 | 0.458032 | 0.043993 | 7.753662 | success | 0.209746 | 0.000001 | 4,032 | 0.043993 | 0.004794 |
|
79 | model.layers.11.mlp.up_proj | 0.058418 | 4,096 | 14,336 | 3.5 | 2.744464 | -3.448862 | 1.465464 | true | 0.055378 | dense | -3.415026 | -0.543832 | -1.256662 | 64 | 0.285869 | 4,096 | 23 | 4,032 | 1 | 0.363746 | 0.055378 | 5.162137 | success | 0.235326 | 0.000001 | 4,032 | 0.055378 | 0.003069 |
|
80 | model.layers.11.self_attn.k_proj | 0.050394 | 1,024 | 4,096 | 4 | 5.234028 | -11.270114 | 1.123817 | true | 0.007027 | dense | -11.198865 | -0.902614 | -2.153239 | 64 | 0.125137 | 1,024 | 64 | 960 | 1 | 0.529253 | 0.007027 | 17.808403 | success | 0.083826 | 0.000001 | 960 | 0.007027 | 0.001477 |
|
81 | model.layers.11.self_attn.o_proj | 0.108526 | 4,096 | 4,096 | 1 | 2.377962 | -3.887587 | 1.429546 | true | 0.023182 | dense | -3.861041 | -1.046776 | -1.63484 | 64 | 0.089789 | 4,096 | 8 | 4,032 | 1 | 0.487183 | 0.023182 | 3.873146 | success | 0.152258 | 0 | 4,032 | 0.023182 | 0.001305 |
|
82 | model.layers.11.self_attn.q_proj | 0.083963 | 4,096 | 4,096 | 1 | 3.071511 | -5.495301 | 1.52872 | true | 0.016251 | dense | -5.23659 | -0.71646 | -1.78912 | 64 | 0.192106 | 4,096 | 16 | 4,032 | 1 | 0.517878 | 0.016251 | 11.821149 | success | 0.127479 | 0 | 4,032 | 0.016251 | 0.002715 |
|
83 | model.layers.11.self_attn.v_proj | 0.096823 | 1,024 | 4,096 | 4 | 2.730485 | -6.100362 | 1.070588 | true | 0.005832 | dense | -6.065863 | -1.450516 | -2.234168 | 64 | 0.035439 | 1,024 | 9 | 960 | 1 | 0.576828 | 0.005832 | 6.076487 | success | 0.076369 | 0.000001 | 960 | 0.005832 | 0.000501 |
|
84 | model.layers.12.mlp.down_proj | 0.089923 | 4,096 | 14,336 | 3.5 | 2.833527 | -3.574279 | 1.452804 | true | 0.054774 | dense | -3.559816 | -0.612318 | -1.261424 | 64 | 0.244164 | 4,096 | 18 | 4,032 | 1 | 0.432166 | 0.054774 | 4.457656 | success | 0.234039 | 0.000001 | 4,032 | 0.054774 | 0.002777 |
|
85 | model.layers.12.mlp.gate_proj | 0.053532 | 4,096 | 14,336 | 3.5 | 2.8049 | -3.764999 | 1.501889 | true | 0.045468 | dense | -3.680067 | -0.478142 | -1.342294 | 64 | 0.332551 | 4,096 | 16 | 4,032 | 1 | 0.451225 | 0.045468 | 7.313938 | success | 0.213232 | 0.000001 | 4,032 | 0.045468 | 0.004557 |
|
86 | model.layers.12.mlp.up_proj | 0.055524 | 4,096 | 14,336 | 3.5 | 2.565255 | -3.136041 | 1.451193 | true | 0.059909 | dense | -3.104937 | -0.563025 | -1.222506 | 64 | 0.273511 | 4,096 | 15 | 4,032 | 1 | 0.404147 | 0.059909 | 4.565421 | success | 0.244764 | 0.000001 | 4,032 | 0.059909 | 0.003387 |
|
87 | model.layers.12.self_attn.k_proj | 0.075259 | 1,024 | 4,096 | 4 | 7.086432 | -16.088866 | 1.130188 | true | 0.005366 | dense | -16.054192 | -0.926907 | -2.270376 | 64 | 0.118329 | 1,024 | 64 | 960 | 1 | 0.760804 | 0.005366 | 22.053078 | success | 0.073251 | 0.000001 | under-trained | 960 | 0.005366 | 0.001531 |
88 | model.layers.12.self_attn.o_proj | 0.098352 | 4,096 | 4,096 | 1 | 2.341469 | -3.844098 | 1.422986 | true | 0.022817 | dense | -3.816921 | -1.066917 | -1.641746 | 64 | 0.08572 | 4,096 | 9 | 4,032 | 1 | 0.447156 | 0.022817 | 3.756896 | success | 0.151052 | 0 | 4,032 | 0.022817 | 0.001114 |
|
89 | model.layers.12.self_attn.q_proj | 0.096271 | 4,096 | 4,096 | 1 | 3.514879 | -6.437541 | 1.532037 | true | 0.01474 | dense | -6.215437 | -0.751836 | -1.831512 | 64 | 0.177078 | 4,096 | 19 | 4,032 | 1 | 0.576953 | 0.01474 | 12.01366 | success | 0.121407 | 0 | 4,032 | 0.01474 | 0.002399 |
|
90 | model.layers.12.self_attn.v_proj | 0.125811 | 1,024 | 4,096 | 4 | 2.641311 | -5.892274 | 1.064412 | true | 0.005877 | dense | -5.860651 | -1.479967 | -2.230814 | 64 | 0.033116 | 1,024 | 7 | 960 | 1 | 0.620357 | 0.005877 | 5.634392 | success | 0.076664 | 0.000001 | 960 | 0.005877 | 0.000492 |
|
91 | model.layers.13.mlp.down_proj | 0.057336 | 4,096 | 14,336 | 3.5 | 2.697668 | -3.599657 | 1.476768 | true | 0.046306 | dense | -3.564414 | -0.605902 | -1.334359 | 64 | 0.247798 | 4,096 | 16 | 4,032 | 1 | 0.424417 | 0.046306 | 5.35127 | success | 0.215189 | 0.000001 | 4,032 | 0.046306 | 0.003034 |
|
92 | model.layers.13.mlp.gate_proj | 0.049988 | 4,096 | 14,336 | 3.5 | 2.897777 | -4.073994 | 1.512724 | true | 0.039273 | dense | -3.955254 | -0.473035 | -1.405903 | 64 | 0.336485 | 4,096 | 18 | 4,032 | 1 | 0.44731 | 0.039273 | 8.567781 | success | 0.198175 | 0.000001 | 4,032 | 0.039273 | 0.004496 |
|
93 | model.layers.13.mlp.up_proj | 0.050633 | 4,096 | 14,336 | 3.5 | 2.671905 | -3.462605 | 1.47642 | true | 0.050591 | dense | -3.418621 | -0.554572 | -1.295931 | 64 | 0.278887 | 4,096 | 16 | 4,032 | 1 | 0.417976 | 0.050591 | 5.512635 | success | 0.224923 | 0.000001 | 4,032 | 0.050591 | 0.003567 |
|
94 | model.layers.13.self_attn.k_proj | 0.066871 | 1,024 | 4,096 | 4 | 7.126741 | -15.667061 | 1.127761 | true | 0.006334 | dense | -15.652862 | -0.92216 | -2.198349 | 64 | 0.11963 | 1,024 | 62 | 960 | 1 | 0.778097 | 0.006334 | 18.888117 | success | 0.079584 | 0.000001 | under-trained | 960 | 0.006334 | 0.001548 |
95 | model.layers.13.self_attn.o_proj | 0.089577 | 4,096 | 4,096 | 1 | 2.459999 | -3.993042 | 1.421071 | true | 0.023813 | dense | -3.97649 | -1.060992 | -1.623188 | 64 | 0.086898 | 4,096 | 10 | 4,032 | 1 | 0.461692 | 0.023813 | 3.64919 | success | 0.154314 | 0 | 4,032 | 0.023813 | 0.001045 |
|
96 | model.layers.13.self_attn.q_proj | 0.099775 | 4,096 | 4,096 | 1 | 3.642384 | -6.743105 | 1.539583 | true | 0.014084 | dense | -6.55117 | -0.731106 | -1.851289 | 64 | 0.185735 | 4,096 | 16 | 4,032 | 1 | 0.660596 | 0.014084 | 13.188117 | success | 0.118674 | 0 | 4,032 | 0.014084 | 0.002735 |
|
97 | model.layers.13.self_attn.v_proj | 0.110842 | 1,024 | 4,096 | 4 | 2.716989 | -6.058543 | 1.070317 | true | 0.00589 | dense | -6.026413 | -1.454266 | -2.229874 | 64 | 0.035135 | 1,024 | 8 | 960 | 1 | 0.607047 | 0.00589 | 5.964974 | success | 0.076747 | 0.000001 | 960 | 0.00589 | 0.000493 |
|
98 | model.layers.14.mlp.down_proj | 0.051323 | 4,096 | 14,336 | 3.5 | 3.157358 | -4.321053 | 1.500425 | true | 0.042799 | dense | -4.305179 | -0.576714 | -1.368566 | 64 | 0.265024 | 4,096 | 18 | 4,032 | 1 | 0.508494 | 0.042799 | 6.192298 | success | 0.206879 | 0.000001 | 4,032 | 0.042799 | 0.003399 |
|
99 | model.layers.14.mlp.gate_proj | 0.052518 | 4,096 | 14,336 | 3.5 | 3.129804 | -4.385769 | 1.518106 | true | 0.039692 | dense | -4.279752 | -0.439713 | -1.401292 | 64 | 0.363318 | 4,096 | 23 | 4,032 | 1 | 0.444095 | 0.039692 | 9.153327 | success | 0.19923 | 0.000001 | 4,032 | 0.039692 | 0.00455 |
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