layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.07
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 1.67
8.98
| alpha_weighted
float64 -8.36
1.59
| entropy
float64 0.8
1.31
| has_esd
bool 1
class | lambda_max
float32 0.03
5.52
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -8.25
1.61
| log_norm
float32 -0.65
1.02
| log_spectral_norm
float32 -1.47
0.74
| matrix_rank
int64 64
64
| norm
float32 0.22
10.5
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
24
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.14
3.57
| spectral_norm
float32 0.03
5.52
| stable_rank
float32 1.46
10.7
| status
stringclasses 1
value | sv_max
float64 0.18
2.35
| sv_min
float64 0
0
| warning
stringclasses 3
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0.03
5.52
| xmin
float64 0
0.72
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | model.layers.0.mlp.down_proj | 0.076356 | 4,096 | 14,336 | 3.5 | 1.976659 | 0.641223 | 1.111537 | true | 2.110559 | dense | 0.776857 | 0.739268 | 0.324398 | 64 | 5.486152 | 4,096 | 13 | 4,032 | 1 | 0.270876 | 2.110559 | 2.599383 | success | 1.452776 | 0.000002 | over-trained | 4,032 | 2.110559 | 0.0763 |
1 | model.layers.0.mlp.gate_proj | 0.097636 | 4,096 | 14,336 | 3.5 | 1.975295 | 1.465367 | 1.041065 | true | 5.518834 | dense | 1.494165 | 1.007699 | 0.741847 | 64 | 10.178849 | 4,096 | 13 | 4,032 | 1 | 0.270498 | 5.518834 | 1.844384 | success | 2.34922 | 0.000003 | over-trained | 4,032 | 5.518834 | 0.129959 |
2 | model.layers.0.mlp.up_proj | 0.108372 | 4,096 | 14,336 | 3.5 | 2.199473 | 1.163998 | 1.129014 | true | 3.382336 | dense | 1.224962 | 0.933887 | 0.529217 | 64 | 8.587893 | 4,096 | 12 | 4,032 | 1 | 0.346258 | 3.382336 | 2.539042 | success | 1.839113 | 0.000003 | 4,032 | 3.382336 | 0.188612 |
|
3 | model.layers.0.self_attn.k_proj | 0.111312 | 1,024 | 4,096 | 4 | 2.045406 | -1.442043 | 0.836641 | true | 0.197235 | dense | -1.367215 | -0.272036 | -0.705016 | 64 | 0.53452 | 1,024 | 13 | 960 | 1 | 0.289943 | 0.197235 | 2.710064 | success | 0.444112 | 0.000001 | 960 | 0.197235 | 0.004435 |
|
4 | model.layers.0.self_attn.o_proj | 0.13921 | 4,096 | 4,096 | 1 | 2.428003 | -1.241056 | 1.204532 | true | 0.308218 | dense | -0.972342 | 0.131642 | -0.511142 | 64 | 1.354072 | 4,096 | 10 | 4,032 | 1 | 0.451574 | 0.308218 | 4.393232 | success | 0.555174 | 0 | 4,032 | 0.308218 | 0.045807 |
|
5 | model.layers.0.self_attn.q_proj | 0.110216 | 4,096 | 4,096 | 1 | 1.745021 | -0.045243 | 1.079604 | true | 0.942048 | dense | -0.027297 | 0.187667 | -0.025927 | 64 | 1.540518 | 4,096 | 7 | 4,032 | 1 | 0.281591 | 0.942048 | 1.635286 | success | 0.970592 | 0 | over-trained | 4,032 | 0.942048 | 0.011045 |
6 | model.layers.0.self_attn.v_proj | 0.139601 | 1,024 | 4,096 | 4 | 1.665781 | -2.123338 | 0.868317 | true | 0.053128 | dense | -1.80718 | -0.652068 | -1.27468 | 64 | 0.222809 | 1,024 | 23 | 960 | 1 | 0.138825 | 0.053128 | 4.193841 | success | 0.230494 | 0.000001 | over-trained | 960 | 0.053128 | 0.000891 |
7 | model.layers.1.mlp.down_proj | 0.101949 | 4,096 | 14,336 | 3.5 | 1.719556 | 0.767172 | 0.949792 | true | 2.79348 | dense | 0.785344 | 0.611519 | 0.446146 | 64 | 4.088073 | 4,096 | 16 | 4,032 | 1 | 0.179889 | 2.79348 | 1.463434 | success | 1.671371 | 0.000002 | over-trained | 4,032 | 2.79348 | 0.016781 |
8 | model.layers.1.mlp.gate_proj | 0.107671 | 4,096 | 14,336 | 3.5 | 2.701273 | 0.824367 | 1.214594 | true | 2.019191 | dense | 0.958328 | 0.928768 | 0.305177 | 64 | 8.48726 | 4,096 | 10 | 4,032 | 1 | 0.53799 | 2.019191 | 4.203298 | success | 1.420982 | 0.000003 | 4,032 | 2.019191 | 0.322694 |
|
9 | model.layers.1.mlp.up_proj | 0.102802 | 4,096 | 14,336 | 3.5 | 3.300739 | 0.875642 | 1.22134 | true | 1.841987 | dense | 0.932314 | 0.888636 | 0.265287 | 64 | 7.738125 | 4,096 | 9 | 4,032 | 1 | 0.766913 | 1.841987 | 4.200965 | success | 1.357198 | 0.000003 | 4,032 | 1.841987 | 0.361084 |
|
10 | model.layers.1.self_attn.k_proj | 0.08085 | 1,024 | 4,096 | 4 | 2.360889 | -2.882427 | 1.017059 | true | 0.06013 | dense | -2.741234 | -0.475349 | -1.220908 | 64 | 0.334697 | 1,024 | 19 | 960 | 1 | 0.312209 | 0.06013 | 5.566203 | success | 0.245215 | 0.000001 | 960 | 0.06013 | 0.003562 |
|
11 | model.layers.1.self_attn.o_proj | 0.11793 | 4,096 | 4,096 | 1 | 2.604368 | -1.317499 | 1.241264 | true | 0.311975 | dense | -1.013566 | 0.226974 | -0.50588 | 64 | 1.686452 | 4,096 | 12 | 4,032 | 1 | 0.463141 | 0.311975 | 5.405729 | success | 0.558547 | 0 | 4,032 | 0.311975 | 0.055241 |
|
12 | model.layers.1.self_attn.q_proj | 0.126949 | 4,096 | 4,096 | 1 | 2.072133 | -0.947831 | 1.275919 | true | 0.348805 | dense | -0.841066 | 0.052785 | -0.457418 | 64 | 1.129237 | 4,096 | 12 | 4,032 | 1 | 0.309498 | 0.348805 | 3.237449 | success | 0.590597 | 0 | 4,032 | 0.348805 | 0.01895 |
|
13 | model.layers.1.self_attn.v_proj | 0.169919 | 1,024 | 4,096 | 4 | 2.527824 | -3.656965 | 0.913994 | true | 0.035753 | dense | -3.182534 | -0.563165 | -1.446685 | 64 | 0.273423 | 1,024 | 12 | 960 | 1 | 0.441045 | 0.035753 | 7.647514 | success | 0.189085 | 0.000001 | 960 | 0.035753 | 0.007994 |
|
14 | model.layers.2.mlp.down_proj | 0.110411 | 4,096 | 14,336 | 3.5 | 1.969377 | 0.598623 | 1.136016 | true | 2.013565 | dense | 0.711509 | 0.726285 | 0.303966 | 64 | 5.324576 | 4,096 | 15 | 4,032 | 1 | 0.250292 | 2.013565 | 2.644352 | success | 1.419001 | 0.000002 | over-trained | 4,032 | 2.013565 | 0.069722 |
15 | model.layers.2.mlp.gate_proj | 0.104275 | 4,096 | 14,336 | 3.5 | 2.848692 | 1.331815 | 1.171957 | true | 2.934391 | dense | 1.359826 | 0.934592 | 0.467518 | 64 | 8.601845 | 4,096 | 8 | 4,032 | 1 | 0.653611 | 2.934391 | 2.93139 | success | 1.713006 | 0.000003 | 4,032 | 2.934391 | 0.360468 |
|
16 | model.layers.2.mlp.up_proj | 0.080501 | 4,096 | 14,336 | 3.5 | 2.615539 | 0.902959 | 1.192592 | true | 2.21426 | dense | 0.988758 | 0.887691 | 0.345229 | 64 | 7.721309 | 4,096 | 11 | 4,032 | 1 | 0.487103 | 2.21426 | 3.487084 | success | 1.488039 | 0.000003 | 4,032 | 2.21426 | 0.250273 |
|
17 | model.layers.2.self_attn.k_proj | 0.11145 | 1,024 | 4,096 | 4 | 2.114741 | -2.017564 | 0.956911 | true | 0.111161 | dense | -1.777128 | -0.235082 | -0.954048 | 64 | 0.581993 | 1,024 | 16 | 960 | 1 | 0.278685 | 0.111161 | 5.235595 | success | 0.333408 | 0.000001 | 960 | 0.111161 | 0.007331 |
|
18 | model.layers.2.self_attn.o_proj | 0.141994 | 4,096 | 4,096 | 1 | 3.93533 | -1.795762 | 1.230097 | true | 0.349689 | dense | -1.707074 | 0.232389 | -0.456318 | 64 | 1.707611 | 4,096 | 5 | 4,032 | 1 | 1.31272 | 0.349689 | 4.883228 | success | 0.591345 | 0 | 4,032 | 0.349689 | 0.132564 |
|
19 | model.layers.2.self_attn.q_proj | 0.104989 | 4,096 | 4,096 | 1 | 2.516689 | -0.836226 | 1.272481 | true | 0.465294 | dense | -0.752782 | 0.233927 | -0.332272 | 64 | 1.71367 | 4,096 | 9 | 4,032 | 1 | 0.505563 | 0.465294 | 3.682979 | success | 0.682125 | 0 | 4,032 | 0.465294 | 0.056918 |
|
20 | model.layers.2.self_attn.v_proj | 0.119055 | 1,024 | 4,096 | 4 | 2.579519 | -3.018373 | 0.853179 | true | 0.067588 | dense | -2.747374 | -0.461957 | -1.17013 | 64 | 0.345178 | 1,024 | 11 | 960 | 1 | 0.476243 | 0.067588 | 5.107087 | success | 0.259977 | 0.000001 | 960 | 0.067588 | 0.010475 |
|
21 | model.layers.3.mlp.down_proj | 0.126696 | 4,096 | 14,336 | 3.5 | 1.9602 | 0.149524 | 1.17489 | true | 1.19201 | dense | 0.465348 | 0.671329 | 0.07628 | 64 | 4.691691 | 4,096 | 13 | 4,032 | 1 | 0.266311 | 1.19201 | 3.93595 | success | 1.091792 | 0.000002 | over-trained | 4,032 | 1.19201 | 0.078711 |
22 | model.layers.3.mlp.gate_proj | 0.116071 | 4,096 | 14,336 | 3.5 | 2.344844 | 1.0169 | 1.169203 | true | 2.714407 | dense | 1.085425 | 0.901845 | 0.433675 | 64 | 7.977097 | 4,096 | 12 | 4,032 | 1 | 0.388223 | 2.714407 | 2.938799 | success | 1.647546 | 0.000003 | 4,032 | 2.714407 | 0.204137 |
|
23 | model.layers.3.mlp.up_proj | 0.100062 | 4,096 | 14,336 | 3.5 | 2.796167 | 1.043718 | 1.177172 | true | 2.361932 | dense | 1.089993 | 0.868782 | 0.373267 | 64 | 7.392345 | 4,096 | 8 | 4,032 | 1 | 0.635041 | 2.361932 | 3.129788 | success | 1.536858 | 0.000003 | 4,032 | 2.361932 | 0.312789 |
|
24 | model.layers.3.self_attn.k_proj | 0.109798 | 1,024 | 4,096 | 4 | 2.123883 | -2.532217 | 0.99227 | true | 0.064231 | dense | -2.059328 | -0.296245 | -1.192258 | 64 | 0.50554 | 1,024 | 17 | 960 | 1 | 0.272582 | 0.064231 | 7.870701 | success | 0.253438 | 0.000001 | 960 | 0.064231 | 0.006133 |
|
25 | model.layers.3.self_attn.o_proj | 0.109008 | 4,096 | 4,096 | 1 | 2.340976 | -0.896558 | 1.214465 | true | 0.414014 | dense | -0.659986 | 0.24802 | -0.382985 | 64 | 1.770192 | 4,096 | 11 | 4,032 | 1 | 0.40432 | 0.414014 | 4.275679 | success | 0.643439 | 0 | 4,032 | 0.414014 | 0.051132 |
|
26 | model.layers.3.self_attn.q_proj | 0.118265 | 4,096 | 4,096 | 1 | 2.194257 | -1.095463 | 1.304062 | true | 0.316781 | dense | -0.844544 | 0.19141 | -0.499241 | 64 | 1.553855 | 4,096 | 15 | 4,032 | 1 | 0.308356 | 0.316781 | 4.905139 | success | 0.562833 | 0 | 4,032 | 0.316781 | 0.029841 |
|
27 | model.layers.3.self_attn.v_proj | 0.126515 | 1,024 | 4,096 | 4 | 2.500194 | -3.016375 | 0.869775 | true | 0.062165 | dense | -2.658711 | -0.442423 | -1.206456 | 64 | 0.361058 | 1,024 | 11 | 960 | 1 | 0.452325 | 0.062165 | 5.808084 | success | 0.249328 | 0.000001 | 960 | 0.062165 | 0.010689 |
|
28 | model.layers.4.mlp.down_proj | 0.103996 | 4,096 | 14,336 | 3.5 | 1.91414 | 0.15396 | 1.164155 | true | 1.203463 | dense | 0.454112 | 0.646136 | 0.080433 | 64 | 4.427268 | 4,096 | 15 | 4,032 | 1 | 0.23603 | 1.203463 | 3.678772 | success | 1.097025 | 0.000002 | over-trained | 4,032 | 1.203463 | 0.056798 |
29 | model.layers.4.mlp.gate_proj | 0.088468 | 4,096 | 14,336 | 3.5 | 2.330314 | 1.01381 | 1.172862 | true | 2.723034 | dense | 1.0994 | 0.924686 | 0.435053 | 64 | 8.407862 | 4,096 | 13 | 4,032 | 1 | 0.368963 | 2.723034 | 3.087681 | success | 1.650162 | 0.000003 | 4,032 | 2.723034 | 0.206369 |
|
30 | model.layers.4.mlp.up_proj | 0.112494 | 4,096 | 14,336 | 3.5 | 2.411922 | 0.7567 | 1.19018 | true | 2.059364 | dense | 0.84922 | 0.840916 | 0.313733 | 64 | 6.932912 | 4,096 | 13 | 4,032 | 1 | 0.391597 | 2.059364 | 3.36653 | success | 1.435049 | 0.000003 | 4,032 | 2.059364 | 0.182713 |
|
31 | model.layers.4.self_attn.k_proj | 0.106653 | 1,024 | 4,096 | 4 | 1.965432 | -1.811593 | 0.935161 | true | 0.119749 | dense | -1.515501 | -0.213677 | -0.921727 | 64 | 0.611397 | 1,024 | 16 | 960 | 1 | 0.241358 | 0.119749 | 5.105644 | success | 0.346048 | 0.000001 | over-trained | 960 | 0.119749 | 0.006634 |
32 | model.layers.4.self_attn.o_proj | 0.156342 | 4,096 | 4,096 | 1 | 2.040308 | -1.240466 | 1.247873 | true | 0.246615 | dense | -0.68488 | 0.218244 | -0.60798 | 64 | 1.652891 | 4,096 | 16 | 4,032 | 1 | 0.260077 | 0.246615 | 6.702302 | success | 0.496604 | 0 | 4,032 | 0.246615 | 0.030612 |
|
33 | model.layers.4.self_attn.q_proj | 0.106517 | 4,096 | 4,096 | 1 | 2.118331 | -0.048152 | 1.163578 | true | 0.949006 | dense | -0.004813 | 0.343573 | -0.022731 | 64 | 2.205837 | 4,096 | 12 | 4,032 | 1 | 0.322834 | 0.949006 | 2.324366 | success | 0.974169 | 0 | 4,032 | 0.949006 | 0.036759 |
|
34 | model.layers.4.self_attn.v_proj | 0.098556 | 1,024 | 4,096 | 4 | 2.270948 | -2.337106 | 0.826632 | true | 0.093512 | dense | -2.127962 | -0.435603 | -1.029132 | 64 | 0.366772 | 1,024 | 12 | 960 | 1 | 0.366891 | 0.093512 | 3.922195 | success | 0.305797 | 0.000001 | 960 | 0.093512 | 0.007871 |
|
35 | model.layers.5.mlp.down_proj | 0.109637 | 4,096 | 14,336 | 3.5 | 2.100318 | 0.406167 | 1.129674 | true | 1.560931 | dense | 0.554776 | 0.642646 | 0.193384 | 64 | 4.39183 | 4,096 | 10 | 4,032 | 1 | 0.347951 | 1.560931 | 2.813596 | success | 1.249372 | 0.000002 | 4,032 | 1.560931 | 0.097031 |
|
36 | model.layers.5.mlp.gate_proj | 0.099106 | 4,096 | 14,336 | 3.5 | 2.027693 | 1.223991 | 1.095415 | true | 4.014554 | dense | 1.289638 | 0.961005 | 0.603637 | 64 | 9.141247 | 4,096 | 13 | 4,032 | 1 | 0.285031 | 4.014554 | 2.277027 | success | 2.003635 | 0.000003 | 4,032 | 4.014554 | 0.140928 |
|
37 | model.layers.5.mlp.up_proj | 0.078598 | 4,096 | 14,336 | 3.5 | 2.681518 | 0.603089 | 1.209362 | true | 1.67844 | dense | 0.710326 | 0.817694 | 0.224906 | 64 | 6.571946 | 4,096 | 12 | 4,032 | 1 | 0.485412 | 1.67844 | 3.915508 | success | 1.295546 | 0.000003 | 4,032 | 1.67844 | 0.216032 |
|
38 | model.layers.5.self_attn.k_proj | 0.102649 | 1,024 | 4,096 | 4 | 2.076816 | -1.952721 | 0.951571 | true | 0.11475 | dense | -1.712682 | -0.227943 | -0.940248 | 64 | 0.59164 | 1,024 | 15 | 960 | 1 | 0.278033 | 0.11475 | 5.155904 | success | 0.338748 | 0.000001 | 960 | 0.11475 | 0.008165 |
|
39 | model.layers.5.self_attn.o_proj | 0.162993 | 4,096 | 4,096 | 1 | 2.339322 | -1.435271 | 1.255186 | true | 0.243477 | dense | -0.995128 | 0.18907 | -0.613542 | 64 | 1.545505 | 4,096 | 16 | 4,032 | 1 | 0.33483 | 0.243477 | 6.347635 | success | 0.493434 | 0 | 4,032 | 0.243477 | 0.0367 |
|
40 | model.layers.5.self_attn.q_proj | 0.093223 | 4,096 | 4,096 | 1 | 2.245052 | -0.889302 | 1.285391 | true | 0.401683 | dense | -0.64295 | 0.281537 | -0.396116 | 64 | 1.912217 | 4,096 | 14 | 4,032 | 1 | 0.332754 | 0.401683 | 4.760511 | success | 0.633785 | 0 | 4,032 | 0.401683 | 0.040819 |
|
41 | model.layers.5.self_attn.v_proj | 0.101257 | 1,024 | 4,096 | 4 | 2.374842 | -2.704781 | 0.863961 | true | 0.072622 | dense | -2.498283 | -0.466641 | -1.138931 | 64 | 0.341475 | 1,024 | 13 | 960 | 1 | 0.381313 | 0.072622 | 4.702079 | success | 0.269485 | 0.000001 | 960 | 0.072622 | 0.008183 |
|
42 | model.layers.6.mlp.down_proj | 0.071468 | 4,096 | 14,336 | 3.5 | 2.035732 | 0.400232 | 1.137449 | true | 1.572546 | dense | 0.512145 | 0.619253 | 0.196603 | 64 | 4.161528 | 4,096 | 14 | 4,032 | 1 | 0.276811 | 1.572546 | 2.646363 | success | 1.254012 | 0.000002 | 4,032 | 1.572546 | 0.061191 |
|
43 | model.layers.6.mlp.gate_proj | 0.119994 | 4,096 | 14,336 | 3.5 | 1.953833 | 0.906343 | 1.142175 | true | 2.909911 | dense | 1.050445 | 0.91896 | 0.46388 | 64 | 8.297745 | 4,096 | 15 | 4,032 | 1 | 0.246279 | 2.909911 | 2.851546 | success | 1.705846 | 0.000003 | over-trained | 4,032 | 2.909911 | 0.113972 |
44 | model.layers.6.mlp.up_proj | 0.128267 | 4,096 | 14,336 | 3.5 | 3.331498 | 0.422375 | 1.22456 | true | 1.339005 | dense | 0.518199 | 0.783048 | 0.126782 | 64 | 6.068035 | 4,096 | 9 | 4,032 | 1 | 0.777166 | 1.339005 | 4.531749 | success | 1.157154 | 0.000003 | 4,032 | 1.339005 | 0.293744 |
|
45 | model.layers.6.self_attn.k_proj | 0.136179 | 1,024 | 4,096 | 4 | 2.26844 | -2.471877 | 0.969799 | true | 0.081343 | dense | -2.094685 | -0.255944 | -1.089682 | 64 | 0.554697 | 1,024 | 13 | 960 | 1 | 0.351802 | 0.081343 | 6.819263 | success | 0.285206 | 0.000001 | 960 | 0.081343 | 0.010278 |
|
46 | model.layers.6.self_attn.o_proj | 0.126876 | 4,096 | 4,096 | 1 | 2.412226 | -1.192384 | 1.228731 | true | 0.320399 | dense | -0.884048 | 0.20558 | -0.494309 | 64 | 1.605389 | 4,096 | 12 | 4,032 | 1 | 0.407675 | 0.320399 | 5.01059 | success | 0.566038 | 0 | 4,032 | 0.320399 | 0.047149 |
|
47 | model.layers.6.self_attn.q_proj | 0.101797 | 4,096 | 4,096 | 1 | 3.283433 | -1.484998 | 1.299478 | true | 0.352964 | dense | -1.381936 | 0.244457 | -0.45227 | 64 | 1.755727 | 4,096 | 7 | 4,032 | 1 | 0.863056 | 0.352964 | 4.974241 | success | 0.594108 | 0 | 4,032 | 0.352964 | 0.089685 |
|
48 | model.layers.6.self_attn.v_proj | 0.077175 | 1,024 | 4,096 | 4 | 2.272744 | -2.044697 | 0.79907 | true | 0.125991 | dense | -1.970046 | -0.425561 | -0.89966 | 64 | 0.375352 | 1,024 | 12 | 960 | 1 | 0.36741 | 0.125991 | 2.979194 | success | 0.354952 | 0.000001 | 960 | 0.125991 | 0.00779 |
|
49 | model.layers.7.mlp.down_proj | 0.097933 | 4,096 | 14,336 | 3.5 | 2.113675 | 0.373255 | 1.155359 | true | 1.501726 | dense | 0.433841 | 0.579983 | 0.176591 | 64 | 3.801748 | 4,096 | 16 | 4,032 | 1 | 0.278419 | 1.501726 | 2.531586 | success | 1.225449 | 0.000002 | 4,032 | 1.501726 | 0.057097 |
|
50 | model.layers.7.mlp.gate_proj | 0.120298 | 4,096 | 14,336 | 3.5 | 2.53411 | 1.171962 | 1.152454 | true | 2.900514 | dense | 1.220762 | 0.90765 | 0.462475 | 64 | 8.084437 | 4,096 | 9 | 4,032 | 1 | 0.51137 | 2.900514 | 2.787243 | success | 1.70309 | 0.000003 | 4,032 | 2.900514 | 0.291948 |
|
51 | model.layers.7.mlp.up_proj | 0.120661 | 4,096 | 14,336 | 3.5 | 3.394365 | 0.288046 | 1.233795 | true | 1.215794 | dense | 0.375921 | 0.760848 | 0.08486 | 64 | 5.765645 | 4,096 | 8 | 4,032 | 1 | 0.846536 | 1.215794 | 4.742287 | success | 1.102631 | 0.000003 | 4,032 | 1.215794 | 0.298249 |
|
52 | model.layers.7.self_attn.k_proj | 0.097194 | 1,024 | 4,096 | 4 | 2.03992 | -1.77188 | 0.93983 | true | 0.135331 | dense | -1.558067 | -0.19748 | -0.868602 | 64 | 0.634629 | 1,024 | 16 | 960 | 1 | 0.25998 | 0.135331 | 4.689452 | success | 0.367874 | 0.000001 | 960 | 0.135331 | 0.007392 |
|
53 | model.layers.7.self_attn.o_proj | 0.1291 | 4,096 | 4,096 | 1 | 2.514249 | -1.735049 | 1.268097 | true | 0.204133 | dense | -1.337075 | 0.119222 | -0.690086 | 64 | 1.315897 | 4,096 | 14 | 4,032 | 1 | 0.4047 | 0.204133 | 6.446266 | success | 0.451811 | 0 | 4,032 | 0.204133 | 0.037969 |
|
54 | model.layers.7.self_attn.q_proj | 0.103556 | 4,096 | 4,096 | 1 | 2.209192 | -0.781709 | 1.271026 | true | 0.442748 | dense | -0.571732 | 0.276067 | -0.353844 | 64 | 1.888281 | 4,096 | 14 | 4,032 | 1 | 0.32317 | 0.442748 | 4.264915 | success | 0.665393 | 0 | 4,032 | 0.442748 | 0.037452 |
|
55 | model.layers.7.self_attn.v_proj | 0.116714 | 1,024 | 4,096 | 4 | 3.199264 | -3.84439 | 0.884482 | true | 0.062857 | dense | -3.679862 | -0.454043 | -1.201648 | 64 | 0.351525 | 1,024 | 9 | 960 | 1 | 0.733088 | 0.062857 | 5.592487 | success | 0.250712 | 0.000001 | 960 | 0.062857 | 0.014862 |
|
56 | model.layers.8.mlp.down_proj | 0.105301 | 4,096 | 14,336 | 3.5 | 2.192544 | 0.192926 | 1.166888 | true | 1.224593 | dense | 0.317413 | 0.568647 | 0.087992 | 64 | 3.703793 | 4,096 | 9 | 4,032 | 1 | 0.397515 | 1.224593 | 3.024509 | success | 1.106613 | 0.000002 | 4,032 | 1.224593 | 0.107301 |
|
57 | model.layers.8.mlp.gate_proj | 0.133873 | 4,096 | 14,336 | 3.5 | 2.461473 | 1.166411 | 1.141331 | true | 2.977607 | dense | 1.219701 | 0.904393 | 0.473867 | 64 | 8.024048 | 4,096 | 7 | 4,032 | 1 | 0.552385 | 2.977607 | 2.694798 | success | 1.725574 | 0.000003 | 4,032 | 2.977607 | 0.341856 |
|
58 | model.layers.8.mlp.up_proj | 0.098681 | 4,096 | 14,336 | 3.5 | 2.717492 | 0.070589 | 1.230717 | true | 1.061637 | dense | 0.363549 | 0.755756 | 0.025976 | 64 | 5.698434 | 4,096 | 12 | 4,032 | 1 | 0.495797 | 1.061637 | 5.367594 | success | 1.030357 | 0.000003 | 4,032 | 1.061637 | 0.195069 |
|
59 | model.layers.8.self_attn.k_proj | 0.086707 | 1,024 | 4,096 | 4 | 1.840124 | -1.371642 | 0.895757 | true | 0.179719 | dense | -1.197006 | -0.181361 | -0.745407 | 64 | 0.658626 | 1,024 | 21 | 960 | 1 | 0.18333 | 0.179719 | 3.664766 | success | 0.423932 | 0.000001 | over-trained | 960 | 0.179719 | 0.00387 |
60 | model.layers.8.self_attn.o_proj | 0.121409 | 4,096 | 4,096 | 1 | 3.583161 | -2.131071 | 1.25919 | true | 0.254246 | dense | -2.002284 | 0.130527 | -0.594746 | 64 | 1.350601 | 4,096 | 7 | 4,032 | 1 | 0.976343 | 0.254246 | 5.312185 | success | 0.504228 | 0 | 4,032 | 0.254246 | 0.077565 |
|
61 | model.layers.8.self_attn.q_proj | 0.11208 | 4,096 | 4,096 | 1 | 2.427144 | -0.644107 | 1.239413 | true | 0.542779 | dense | -0.560986 | 0.254495 | -0.265377 | 64 | 1.796781 | 4,096 | 9 | 4,032 | 1 | 0.475715 | 0.542779 | 3.310334 | success | 0.736736 | 0 | 4,032 | 0.542779 | 0.056712 |
|
62 | model.layers.8.self_attn.v_proj | 0.159415 | 1,024 | 4,096 | 4 | 2.033145 | -2.506298 | 0.892429 | true | 0.058517 | dense | -2.071934 | -0.441358 | -1.23272 | 64 | 0.361944 | 1,024 | 16 | 960 | 1 | 0.258286 | 0.058517 | 6.185312 | success | 0.241902 | 0.000002 | 960 | 0.058517 | 0.005716 |
|
63 | model.layers.9.mlp.down_proj | 0.12605 | 4,096 | 14,336 | 3.5 | 2.558539 | -0.058346 | 1.199251 | true | 0.948846 | dense | 0.100675 | 0.554804 | -0.022804 | 64 | 3.5876 | 4,096 | 7 | 4,032 | 1 | 0.589072 | 0.948846 | 3.781014 | success | 0.974087 | 0.000002 | 4,032 | 0.948846 | 0.169765 |
|
64 | model.layers.9.mlp.gate_proj | 0.127432 | 4,096 | 14,336 | 3.5 | 2.110989 | 0.754511 | 1.168852 | true | 2.277303 | dense | 0.960674 | 0.905857 | 0.357421 | 64 | 8.051132 | 4,096 | 11 | 4,032 | 1 | 0.334976 | 2.277303 | 3.535381 | success | 1.509073 | 0.000003 | 4,032 | 2.277303 | 0.196398 |
|
65 | model.layers.9.mlp.up_proj | 0.106688 | 4,096 | 14,336 | 3.5 | 2.725478 | 0.176719 | 1.230213 | true | 1.16102 | dense | 0.375216 | 0.750498 | 0.06484 | 64 | 5.629871 | 4,096 | 10 | 4,032 | 1 | 0.545644 | 1.16102 | 4.849074 | success | 1.077506 | 0.000003 | 4,032 | 1.16102 | 0.217533 |
|
66 | model.layers.9.self_attn.k_proj | 0.12144 | 1,024 | 4,096 | 4 | 1.904055 | -1.685887 | 0.933734 | true | 0.130191 | dense | -1.40812 | -0.193478 | -0.885419 | 64 | 0.640504 | 1,024 | 17 | 960 | 1 | 0.219266 | 0.130191 | 4.919728 | success | 0.36082 | 0.000001 | over-trained | 960 | 0.130191 | 0.006303 |
67 | model.layers.9.self_attn.o_proj | 0.124536 | 4,096 | 4,096 | 1 | 2.527644 | -1.755166 | 1.264118 | true | 0.202121 | dense | -1.317633 | 0.126397 | -0.694388 | 64 | 1.337817 | 4,096 | 13 | 4,032 | 1 | 0.423692 | 0.202121 | 6.618884 | success | 0.449579 | 0 | 4,032 | 0.202121 | 0.040725 |
|
68 | model.layers.9.self_attn.q_proj | 0.141387 | 4,096 | 4,096 | 1 | 2.235578 | -0.484324 | 1.228025 | true | 0.607234 | dense | -0.363379 | 0.306138 | -0.216644 | 64 | 2.023663 | 4,096 | 11 | 4,032 | 1 | 0.372541 | 0.607234 | 3.332588 | success | 0.779253 | 0 | 4,032 | 0.607234 | 0.048829 |
|
69 | model.layers.9.self_attn.v_proj | 0.156159 | 1,024 | 4,096 | 4 | 2.508996 | -3.357604 | 0.892527 | true | 0.045896 | dense | -2.908927 | -0.480481 | -1.338226 | 64 | 0.330764 | 1,024 | 13 | 960 | 1 | 0.41852 | 0.045896 | 7.206834 | success | 0.214233 | 0.000002 | 960 | 0.045896 | 0.009209 |
|
70 | model.layers.10.mlp.down_proj | 0.145644 | 4,096 | 14,336 | 3.5 | 2.310299 | -0.13993 | 1.207432 | true | 0.869826 | dense | 0.07998 | 0.545591 | -0.060568 | 64 | 3.512296 | 4,096 | 10 | 4,032 | 1 | 0.414353 | 0.869826 | 4.037931 | success | 0.932644 | 0.000002 | 4,032 | 0.869826 | 0.108121 |
|
71 | model.layers.10.mlp.gate_proj | 0.129242 | 4,096 | 14,336 | 3.5 | 1.983117 | 0.972382 | 1.117747 | true | 3.092645 | dense | 1.070145 | 0.891728 | 0.49033 | 64 | 7.793423 | 4,096 | 12 | 4,032 | 1 | 0.283801 | 3.092645 | 2.519986 | success | 1.758592 | 0.000003 | over-trained | 4,032 | 3.092645 | 0.133782 |
72 | model.layers.10.mlp.up_proj | 0.095463 | 4,096 | 14,336 | 3.5 | 2.807535 | 0.215918 | 1.227676 | true | 1.193731 | dense | 0.389662 | 0.747633 | 0.076906 | 64 | 5.59285 | 4,096 | 9 | 4,032 | 1 | 0.602512 | 1.193731 | 4.685184 | success | 1.09258 | 0.000003 | 4,032 | 1.193731 | 0.234278 |
|
73 | model.layers.10.self_attn.k_proj | 0.086916 | 1,024 | 4,096 | 4 | 2.299372 | -2.133121 | 0.946239 | true | 0.118114 | dense | -1.906117 | -0.211709 | -0.927697 | 64 | 0.614173 | 1,024 | 12 | 960 | 1 | 0.375096 | 0.118114 | 5.199819 | success | 0.343678 | 0.000001 | 960 | 0.118114 | 0.012086 |
|
74 | model.layers.10.self_attn.o_proj | 0.151336 | 4,096 | 4,096 | 1 | 4.212849 | -2.743123 | 1.262647 | true | 0.223289 | dense | -2.66085 | 0.078266 | -0.651133 | 64 | 1.197475 | 4,096 | 5 | 4,032 | 1 | 1.43683 | 0.223289 | 5.362892 | success | 0.472535 | 0 | 4,032 | 0.223289 | 0.087148 |
|
75 | model.layers.10.self_attn.q_proj | 0.11007 | 4,096 | 4,096 | 1 | 2.299952 | -0.997625 | 1.289676 | true | 0.368333 | dense | -0.770098 | 0.246096 | -0.433759 | 64 | 1.762364 | 4,096 | 15 | 4,032 | 1 | 0.335646 | 0.368333 | 4.784697 | success | 0.606905 | 0 | 4,032 | 0.368333 | 0.037428 |
|
76 | model.layers.10.self_attn.v_proj | 0.108391 | 1,024 | 4,096 | 4 | 2.863954 | -3.271382 | 0.871677 | true | 0.072067 | dense | -3.166746 | -0.492168 | -1.142261 | 64 | 0.321982 | 1,024 | 8 | 960 | 1 | 0.659007 | 0.072067 | 4.467789 | success | 0.268454 | 0.000001 | 960 | 0.072067 | 0.013138 |
|
77 | model.layers.11.mlp.down_proj | 0.121044 | 4,096 | 14,336 | 3.5 | 2.033375 | -0.104563 | 1.208015 | true | 0.888335 | dense | 0.109249 | 0.519107 | -0.051423 | 64 | 3.304507 | 4,096 | 15 | 4,032 | 1 | 0.266816 | 0.888335 | 3.71989 | success | 0.942515 | 0.000002 | 4,032 | 0.888335 | 0.053927 |
|
78 | model.layers.11.mlp.gate_proj | 0.104508 | 4,096 | 14,336 | 3.5 | 1.962975 | 0.654276 | 1.175149 | true | 2.15431 | dense | 0.895246 | 0.892658 | 0.333308 | 64 | 7.81013 | 4,096 | 14 | 4,032 | 1 | 0.257366 | 2.15431 | 3.625351 | success | 1.467757 | 0.000003 | over-trained | 4,032 | 2.15431 | 0.127026 |
79 | model.layers.11.mlp.up_proj | 0.088319 | 4,096 | 14,336 | 3.5 | 2.811194 | 0.076357 | 1.236399 | true | 1.064539 | dense | 0.364986 | 0.775995 | 0.027162 | 64 | 5.970279 | 4,096 | 11 | 4,032 | 1 | 0.546095 | 1.064539 | 5.608321 | success | 1.031765 | 0.000002 | 4,032 | 1.064539 | 0.22812 |
|
80 | model.layers.11.self_attn.k_proj | 0.100558 | 1,024 | 4,096 | 4 | 2.295746 | -1.923274 | 0.938058 | true | 0.145293 | dense | -1.789883 | -0.18921 | -0.837756 | 64 | 0.64683 | 1,024 | 12 | 960 | 1 | 0.37405 | 0.145293 | 4.451905 | success | 0.381173 | 0.000001 | 960 | 0.145293 | 0.012554 |
|
81 | model.layers.11.self_attn.o_proj | 0.133897 | 4,096 | 4,096 | 1 | 4.338986 | -3.751656 | 1.293143 | true | 0.136572 | dense | -3.278237 | 0.107854 | -0.864639 | 64 | 1.281901 | 4,096 | 9 | 4,032 | 1 | 1.112995 | 0.136572 | 9.386274 | success | 0.369556 | 0 | 4,032 | 0.136572 | 0.068166 |
|
82 | model.layers.11.self_attn.q_proj | 0.114045 | 4,096 | 4,096 | 1 | 2.059657 | -0.548258 | 1.242442 | true | 0.541765 | dense | -0.326123 | 0.323086 | -0.266189 | 64 | 2.104197 | 4,096 | 15 | 4,032 | 1 | 0.273602 | 0.541765 | 3.883963 | success | 0.736047 | 0 | 4,032 | 0.541765 | 0.032982 |
|
83 | model.layers.11.self_attn.v_proj | 0.147873 | 1,024 | 4,096 | 4 | 3.960762 | -5.492393 | 0.924081 | true | 0.041049 | dense | -5.30026 | -0.525937 | -1.386701 | 64 | 0.297895 | 1,024 | 6 | 960 | 1 | 1.208726 | 0.041049 | 7.257119 | success | 0.202605 | 0.000001 | 960 | 0.041049 | 0.016924 |
|
84 | model.layers.12.mlp.down_proj | 0.125361 | 4,096 | 14,336 | 3.5 | 2.72485 | -0.227856 | 1.216594 | true | 0.824857 | dense | -0.07467 | 0.52217 | -0.083622 | 64 | 3.327895 | 4,096 | 8 | 4,032 | 1 | 0.609826 | 0.824857 | 4.034513 | success | 0.908216 | 0.000002 | 4,032 | 0.824857 | 0.150124 |
|
85 | model.layers.12.mlp.gate_proj | 0.095952 | 4,096 | 14,336 | 3.5 | 2.244348 | 0.681968 | 1.185655 | true | 2.013076 | dense | 0.908777 | 0.896029 | 0.30386 | 64 | 7.87098 | 4,096 | 12 | 4,032 | 1 | 0.359212 | 2.013076 | 3.909928 | success | 1.418829 | 0.000003 | 4,032 | 2.013076 | 0.200436 |
|
86 | model.layers.12.mlp.up_proj | 0.146924 | 4,096 | 14,336 | 3.5 | 3.119043 | -0.502097 | 1.26141 | true | 0.690275 | dense | 0.031418 | 0.766576 | -0.160978 | 64 | 5.842188 | 4,096 | 12 | 4,032 | 1 | 0.611715 | 0.690275 | 8.463566 | success | 0.830828 | 0.000003 | 4,032 | 0.690275 | 0.238178 |
|
87 | model.layers.12.self_attn.k_proj | 0.115202 | 1,024 | 4,096 | 4 | 2.16172 | -2.125426 | 0.952411 | true | 0.103942 | dense | -1.771345 | -0.193855 | -0.983211 | 64 | 0.639948 | 1,024 | 15 | 960 | 1 | 0.299955 | 0.103942 | 6.156802 | success | 0.3224 | 0.000001 | 960 | 0.103942 | 0.009599 |
|
88 | model.layers.12.self_attn.o_proj | 0.148559 | 4,096 | 4,096 | 1 | 2.553123 | -2.006094 | 1.284288 | true | 0.163779 | dense | -1.559166 | 0.076869 | -0.785741 | 64 | 1.193628 | 4,096 | 15 | 4,032 | 1 | 0.401015 | 0.163779 | 7.288031 | success | 0.404696 | 0 | 4,032 | 0.163779 | 0.034577 |
|
89 | model.layers.12.self_attn.q_proj | 0.102668 | 4,096 | 4,096 | 1 | 2.82204 | -0.916018 | 1.268871 | true | 0.473593 | dense | -0.842054 | 0.266378 | -0.324594 | 64 | 1.846624 | 4,096 | 10 | 4,032 | 1 | 0.57618 | 0.473593 | 3.899176 | success | 0.688181 | 0 | 4,032 | 0.473593 | 0.066412 |
|
90 | model.layers.12.self_attn.v_proj | 0.101775 | 1,024 | 4,096 | 4 | 3.908696 | -5.604186 | 0.92975 | true | 0.036832 | dense | -5.433726 | -0.555715 | -1.433774 | 64 | 0.278154 | 1,024 | 8 | 960 | 1 | 1.028379 | 0.036832 | 7.55195 | success | 0.191917 | 0.000001 | 960 | 0.036832 | 0.01297 |
|
91 | model.layers.13.mlp.down_proj | 0.135136 | 4,096 | 14,336 | 3.5 | 2.413927 | -0.271754 | 1.229306 | true | 0.771654 | dense | -0.027098 | 0.551078 | -0.112578 | 64 | 3.556952 | 4,096 | 10 | 4,032 | 1 | 0.447123 | 0.771654 | 4.609519 | success | 0.878438 | 0.000002 | 4,032 | 0.771654 | 0.121258 |
|
92 | model.layers.13.mlp.gate_proj | 0.148227 | 4,096 | 14,336 | 3.5 | 2.047386 | 0.731107 | 1.174062 | true | 2.275584 | dense | 0.944523 | 0.91022 | 0.357093 | 64 | 8.13242 | 4,096 | 12 | 4,032 | 1 | 0.302354 | 2.275584 | 3.573773 | success | 1.508504 | 0.000003 | 4,032 | 2.275584 | 0.177543 |
|
93 | model.layers.13.mlp.up_proj | 0.11132 | 4,096 | 14,336 | 3.5 | 2.730719 | 0.30972 | 1.223642 | true | 1.298437 | dense | 0.518037 | 0.790919 | 0.113421 | 64 | 6.179018 | 4,096 | 9 | 4,032 | 1 | 0.576906 | 1.298437 | 4.758814 | success | 1.13949 | 0.000003 | 4,032 | 1.298437 | 0.255827 |
|
94 | model.layers.13.self_attn.k_proj | 0.123865 | 1,024 | 4,096 | 4 | 1.960272 | -1.73244 | 0.939046 | true | 0.130685 | dense | -1.496349 | -0.200827 | -0.883775 | 64 | 0.629757 | 1,024 | 17 | 960 | 1 | 0.2329 | 0.130685 | 4.818902 | success | 0.361503 | 0.000001 | over-trained | 960 | 0.130685 | 0.006992 |
95 | model.layers.13.self_attn.o_proj | 0.117118 | 4,096 | 4,096 | 1 | 4.00947 | -3.650243 | 1.298894 | true | 0.122912 | dense | -3.168431 | 0.065781 | -0.910405 | 64 | 1.163539 | 4,096 | 10 | 4,032 | 1 | 0.951678 | 0.122912 | 9.466429 | success | 0.350588 | 0 | 4,032 | 0.122912 | 0.056796 |
|
96 | model.layers.13.self_attn.q_proj | 0.118379 | 4,096 | 4,096 | 1 | 2.351613 | -0.668953 | 1.252137 | true | 0.519439 | dense | -0.538434 | 0.294051 | -0.284466 | 64 | 1.968116 | 4,096 | 12 | 4,032 | 1 | 0.390177 | 0.519439 | 3.78893 | success | 0.720721 | 0 | 4,032 | 0.519439 | 0.050464 |
|
97 | model.layers.13.self_attn.v_proj | 0.127578 | 1,024 | 4,096 | 4 | 2.728843 | -3.822366 | 0.919005 | true | 0.039744 | dense | -3.408978 | -0.506694 | -1.400728 | 64 | 0.311391 | 1,024 | 14 | 960 | 1 | 0.462053 | 0.039744 | 7.834901 | success | 0.199359 | 0.000002 | 960 | 0.039744 | 0.008851 |
|
98 | model.layers.14.mlp.down_proj | 0.096078 | 4,096 | 14,336 | 3.5 | 2.487171 | -0.278566 | 1.233047 | true | 0.772678 | dense | -0.100971 | 0.516764 | -0.112001 | 64 | 3.286729 | 4,096 | 11 | 4,032 | 1 | 0.448399 | 0.772678 | 4.253684 | success | 0.879021 | 0.000002 | 4,032 | 0.772678 | 0.105146 |
|
99 | model.layers.14.mlp.gate_proj | 0.144604 | 4,096 | 14,336 | 3.5 | 2.241275 | 0.674673 | 1.195751 | true | 1.999962 | dense | 0.925215 | 0.924942 | 0.301022 | 64 | 8.412821 | 4,096 | 11 | 4,032 | 1 | 0.374258 | 1.999962 | 4.20649 | success | 1.4142 | 0.000003 | 4,032 | 1.999962 | 0.238612 |