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
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
100 | model.layers.14.mlp.up_proj | 0.051827 | 4,096 | 14,336 | 3.5 | 2.800088 | -3.628625 | 1.488427 | true | 0.050594 | dense | -3.588206 | -0.518272 | -1.295897 | 64 | 0.303199 | 4,096 | 16 | 4,032 | 1 | 0.450022 | 0.050594 | 5.992734 | success | 0.224932 | 0.000001 | 4,032 | 0.050594 | 0.004062 |
|
101 | model.layers.14.self_attn.k_proj | 0.057086 | 1,024 | 4,096 | 4 | 6.199175 | -14.232983 | 1.129956 | true | 0.005059 | dense | -14.099066 | -0.911296 | -2.295948 | 64 | 0.12266 | 1,024 | 47 | 960 | 1 | 0.758378 | 0.005059 | 24.246637 | success | 0.071126 | 0.000001 | under-trained | 960 | 0.005059 | 0.00164 |
102 | model.layers.14.self_attn.o_proj | 0.090266 | 4,096 | 4,096 | 1 | 2.585232 | -4.272046 | 1.448028 | true | 0.02226 | dense | -4.256153 | -1.034877 | -1.65248 | 64 | 0.092283 | 4,096 | 10 | 4,032 | 1 | 0.501294 | 0.02226 | 4.145756 | success | 0.149197 | 0 | 4,032 | 0.02226 | 0.001198 |
|
103 | model.layers.14.self_attn.q_proj | 0.105963 | 4,096 | 4,096 | 1 | 3.329436 | -6.011685 | 1.53537 | true | 0.015645 | dense | -5.827881 | -0.723697 | -1.805617 | 64 | 0.188931 | 4,096 | 13 | 4,032 | 1 | 0.646069 | 0.015645 | 12.075896 | success | 0.125081 | 0 | 4,032 | 0.015645 | 0.002949 |
|
104 | model.layers.14.self_attn.v_proj | 0.123454 | 1,024 | 4,096 | 4 | 6.821701 | -15.461374 | 1.094498 | true | 0.005414 | dense | -15.461344 | -1.379272 | -2.266498 | 64 | 0.041757 | 1,024 | 64 | 960 | 1 | 0.727713 | 0.005414 | 7.713043 | success | 0.073578 | 0.000001 | under-trained | 960 | 0.005414 | 0.000497 |
105 | model.layers.15.mlp.down_proj | 0.070957 | 4,096 | 14,336 | 3.5 | 3.021847 | -4.307824 | 1.511609 | true | 0.037535 | dense | -4.27718 | -0.583201 | -1.42556 | 64 | 0.261095 | 4,096 | 13 | 4,032 | 1 | 0.56076 | 0.037535 | 6.955993 | success | 0.19374 | 0.000001 | 4,032 | 0.037535 | 0.003697 |
|
106 | model.layers.15.mlp.gate_proj | 0.062411 | 4,096 | 14,336 | 3.5 | 3.060523 | -4.569587 | 1.532581 | true | 0.032131 | dense | -4.388315 | -0.43447 | -1.493074 | 64 | 0.367731 | 4,096 | 13 | 4,032 | 1 | 0.571486 | 0.032131 | 11.444687 | success | 0.179252 | 0.000001 | 4,032 | 0.032131 | 0.005762 |
|
107 | model.layers.15.mlp.up_proj | 0.068851 | 4,096 | 14,336 | 3.5 | 3.065923 | -4.183579 | 1.504459 | true | 0.043197 | dense | -4.148508 | -0.526475 | -1.364542 | 64 | 0.297526 | 4,096 | 21 | 4,032 | 1 | 0.450821 | 0.043197 | 6.887586 | success | 0.20784 | 0.000001 | 4,032 | 0.043197 | 0.003679 |
|
108 | model.layers.15.self_attn.k_proj | 0.037717 | 1,024 | 4,096 | 4 | 8.646316 | -20.710051 | 1.13398 | true | 0.004025 | dense | -20.638224 | -0.914096 | -2.395246 | 64 | 0.121872 | 1,024 | 34 | 960 | 1 | 1.311332 | 0.004025 | 30.279596 | success | 0.063442 | 0.000001 | under-trained | 960 | 0.004025 | 0.001807 |
109 | model.layers.15.self_attn.o_proj | 0.122858 | 4,096 | 4,096 | 1 | 2.504459 | -4.26952 | 1.476369 | true | 0.019735 | dense | -4.239047 | -1.01376 | -1.704768 | 64 | 0.096881 | 4,096 | 7 | 4,032 | 1 | 0.568632 | 0.019735 | 4.909166 | success | 0.140481 | 0 | 4,032 | 0.019735 | 0.001465 |
|
110 | model.layers.15.self_attn.q_proj | 0.096988 | 4,096 | 4,096 | 1 | 4.536139 | -8.823039 | 1.547764 | true | 0.011349 | dense | -8.549584 | -0.714671 | -1.945055 | 64 | 0.192898 | 4,096 | 28 | 4,032 | 1 | 0.668267 | 0.011349 | 16.997444 | success | 0.10653 | 0 | 4,032 | 0.011349 | 0.0026 |
|
111 | model.layers.15.self_attn.v_proj | 0.125653 | 1,024 | 4,096 | 4 | 7.41719 | -17.159905 | 1.100835 | true | 0.004858 | dense | -17.159896 | -1.389447 | -2.313532 | 64 | 0.04079 | 1,024 | 64 | 960 | 1 | 0.802149 | 0.004858 | 8.396245 | success | 0.0697 | 0.000001 | under-trained | 960 | 0.004858 | 0.0005 |
112 | model.layers.16.mlp.down_proj | 0.069149 | 4,096 | 14,336 | 3.5 | 2.994428 | -4.299193 | 1.509609 | true | 0.036666 | dense | -4.262789 | -0.590133 | -1.435731 | 64 | 0.256961 | 4,096 | 18 | 4,032 | 1 | 0.470091 | 0.036666 | 7.008056 | success | 0.191485 | 0.000001 | 4,032 | 0.036666 | 0.003171 |
|
113 | model.layers.16.mlp.gate_proj | 0.071433 | 4,096 | 14,336 | 3.5 | 3.363564 | -5.22929 | 1.53804 | true | 0.027881 | dense | -5.020193 | -0.429531 | -1.554687 | 64 | 0.371936 | 4,096 | 19 | 4,032 | 1 | 0.542239 | 0.027881 | 13.339994 | success | 0.166977 | 0.000001 | 4,032 | 0.027881 | 0.005212 |
|
114 | model.layers.16.mlp.up_proj | 0.071571 | 4,096 | 14,336 | 3.5 | 3.042077 | -4.257494 | 1.507473 | true | 0.039853 | dense | -4.211461 | -0.537539 | -1.399535 | 64 | 0.290042 | 4,096 | 22 | 4,032 | 1 | 0.435372 | 0.039853 | 7.277741 | success | 0.199633 | 0.000001 | 4,032 | 0.039853 | 0.003506 |
|
115 | model.layers.16.self_attn.k_proj | 0.041292 | 1,024 | 4,096 | 4 | 8.196622 | -19.099869 | 1.132987 | true | 0.004675 | dense | -19.076341 | -0.914985 | -2.330212 | 64 | 0.121623 | 1,024 | 36 | 960 | 1 | 1.199437 | 0.004675 | 26.015173 | success | 0.068374 | 0.000001 | under-trained | 960 | 0.004675 | 0.001777 |
116 | model.layers.16.self_attn.o_proj | 0.120509 | 4,096 | 4,096 | 1 | 2.506106 | -4.330797 | 1.489687 | true | 0.018703 | dense | -4.291268 | -0.994538 | -1.728098 | 64 | 0.101266 | 4,096 | 7 | 4,032 | 1 | 0.569255 | 0.018703 | 5.414517 | success | 0.136757 | 0 | 4,032 | 0.018703 | 0.001499 |
|
117 | model.layers.16.self_attn.q_proj | 0.086157 | 4,096 | 4,096 | 1 | 5.534747 | -10.994184 | 1.553557 | true | 0.010318 | dense | -10.80152 | -0.697787 | -1.986393 | 64 | 0.200545 | 4,096 | 45 | 4,032 | 1 | 0.676 | 0.010318 | 19.435957 | success | 0.101579 | 0 | 4,032 | 0.010318 | 0.00258 |
|
118 | model.layers.16.self_attn.v_proj | 0.119849 | 1,024 | 4,096 | 4 | 7.636985 | -18.037476 | 1.111341 | true | 0.004347 | dense | -18.037442 | -1.351812 | -2.361858 | 64 | 0.044482 | 1,024 | 64 | 960 | 1 | 0.829623 | 0.004347 | 10.234013 | success | 0.065928 | 0.000001 | under-trained | 960 | 0.004347 | 0.00056 |
119 | model.layers.17.mlp.down_proj | 0.057677 | 4,096 | 14,336 | 3.5 | 2.925293 | -4.425994 | 1.52282 | true | 0.03069 | dense | -4.336686 | -0.571949 | -1.513008 | 64 | 0.267948 | 4,096 | 15 | 4,032 | 1 | 0.497109 | 0.03069 | 8.730907 | success | 0.175185 | 0.000001 | 4,032 | 0.03069 | 0.003644 |
|
120 | model.layers.17.mlp.gate_proj | 0.08632 | 4,096 | 14,336 | 3.5 | 3.363855 | -5.343612 | 1.538498 | true | 0.025791 | dense | -5.078477 | -0.435103 | -1.588538 | 64 | 0.367195 | 4,096 | 22 | 4,032 | 1 | 0.503976 | 0.025791 | 14.237547 | success | 0.160595 | 0.000001 | 4,032 | 0.025791 | 0.004822 |
|
121 | model.layers.17.mlp.up_proj | 0.066077 | 4,096 | 14,336 | 3.5 | 2.984643 | -4.25335 | 1.512351 | true | 0.037577 | dense | -4.176748 | -0.52061 | -1.425078 | 64 | 0.301571 | 4,096 | 21 | 4,032 | 1 | 0.433085 | 0.037577 | 8.025428 | success | 0.193848 | 0.000001 | 4,032 | 0.037577 | 0.003673 |
|
122 | model.layers.17.self_attn.k_proj | 0.076913 | 1,024 | 4,096 | 4 | 5.344615 | -11.449767 | 1.12312 | true | 0.007206 | dense | -11.42087 | -0.93969 | -2.1423 | 64 | 0.114897 | 1,024 | 62 | 960 | 1 | 0.551767 | 0.007206 | 15.94444 | success | 0.084889 | 0.000001 | 960 | 0.007206 | 0.001375 |
|
123 | model.layers.17.self_attn.o_proj | 0.109501 | 4,096 | 4,096 | 1 | 2.681201 | -4.596399 | 1.476859 | true | 0.019306 | dense | -4.576493 | -1.021634 | -1.714306 | 64 | 0.095141 | 4,096 | 9 | 4,032 | 1 | 0.5604 | 0.019306 | 4.92802 | success | 0.138946 | 0 | 4,032 | 0.019306 | 0.001343 |
|
124 | model.layers.17.self_attn.q_proj | 0.110106 | 4,096 | 4,096 | 1 | 3.725948 | -6.799514 | 1.534264 | true | 0.014966 | dense | -6.590783 | -0.731528 | -1.824908 | 64 | 0.185555 | 4,096 | 19 | 4,032 | 1 | 0.625375 | 0.014966 | 12.398818 | success | 0.122334 | 0 | 4,032 | 0.014966 | 0.002582 |
|
125 | model.layers.17.self_attn.v_proj | 0.099106 | 1,024 | 4,096 | 4 | 7.040562 | -16.239521 | 1.100732 | true | 0.004937 | dense | -16.239505 | -1.384083 | -2.306566 | 64 | 0.041297 | 1,024 | 64 | 960 | 1 | 0.75507 | 0.004937 | 8.365337 | success | 0.070261 | 0.000001 | under-trained | 960 | 0.004937 | 0.000501 |
126 | model.layers.18.mlp.down_proj | 0.071383 | 4,096 | 14,336 | 3.5 | 3.122996 | -4.761385 | 1.524815 | true | 0.02988 | dense | -4.679995 | -0.570696 | -1.524621 | 64 | 0.268722 | 4,096 | 16 | 4,032 | 1 | 0.530749 | 0.02988 | 8.993419 | success | 0.172858 | 0.000001 | 4,032 | 0.02988 | 0.00353 |
|
127 | model.layers.18.mlp.gate_proj | 0.097748 | 4,096 | 14,336 | 3.5 | 3.587258 | -5.752391 | 1.53836 | true | 0.024914 | dense | -5.481344 | -0.438982 | -1.603562 | 64 | 0.36393 | 4,096 | 25 | 4,032 | 1 | 0.517452 | 0.024914 | 14.607631 | success | 0.157841 | 0.000001 | 4,032 | 0.024914 | 0.004635 |
|
128 | model.layers.18.mlp.up_proj | 0.083083 | 4,096 | 14,336 | 3.5 | 2.97663 | -4.262311 | 1.51109 | true | 0.036989 | dense | -4.169111 | -0.521359 | -1.431925 | 64 | 0.301051 | 4,096 | 18 | 4,032 | 1 | 0.465896 | 0.036989 | 8.138896 | success | 0.192326 | 0.000001 | 4,032 | 0.036989 | 0.00387 |
|
129 | model.layers.18.self_attn.k_proj | 0.042833 | 1,024 | 4,096 | 4 | 7.462724 | -17.60662 | 1.132488 | true | 0.004372 | dense | -17.552315 | -0.942999 | -2.359275 | 64 | 0.114025 | 1,024 | 56 | 960 | 1 | 0.863618 | 0.004372 | 26.078098 | success | 0.066124 | 0.000001 | under-trained | 960 | 0.004372 | 0.001533 |
130 | model.layers.18.self_attn.o_proj | 0.14367 | 4,096 | 4,096 | 1 | 3.131129 | -5.526621 | 1.497595 | true | 0.017177 | dense | -5.510782 | -0.991533 | -1.765057 | 64 | 0.101969 | 4,096 | 13 | 4,032 | 1 | 0.591069 | 0.017177 | 5.936418 | success | 0.13106 | 0 | 4,032 | 0.017177 | 0.001331 |
|
131 | model.layers.18.self_attn.q_proj | 0.104319 | 4,096 | 4,096 | 1 | 6.274545 | -12.388616 | 1.550981 | true | 0.010607 | dense | -12.140452 | -0.710425 | -1.974425 | 64 | 0.194794 | 4,096 | 64 | 4,032 | 1 | 0.659318 | 0.010607 | 18.365349 | success | 0.102988 | 0 | under-trained | 4,032 | 0.010607 | 0.002386 |
132 | model.layers.18.self_attn.v_proj | 0.121918 | 1,024 | 4,096 | 4 | 7.790656 | -18.424523 | 1.110799 | true | 0.004316 | dense | -18.424488 | -1.356509 | -2.364951 | 64 | 0.044004 | 1,024 | 64 | 960 | 1 | 0.848832 | 0.004316 | 10.196293 | success | 0.065694 | 0.000001 | under-trained | 960 | 0.004316 | 0.000555 |
133 | model.layers.19.mlp.down_proj | 0.103851 | 4,096 | 14,336 | 3.5 | 2.783166 | -4.39243 | 1.527772 | true | 0.026411 | dense | -4.205248 | -0.572705 | -1.578213 | 64 | 0.267482 | 4,096 | 11 | 4,032 | 1 | 0.537645 | 0.026411 | 10.127645 | success | 0.162515 | 0.000001 | 4,032 | 0.026411 | 0.003934 |
|
134 | model.layers.19.mlp.gate_proj | 0.100896 | 4,096 | 14,336 | 3.5 | 3.203293 | -5.172868 | 1.540524 | true | 0.024274 | dense | -4.861641 | -0.445934 | -1.61486 | 64 | 0.358151 | 4,096 | 17 | 4,032 | 1 | 0.534377 | 0.024274 | 14.75455 | success | 0.155801 | 0.000001 | 4,032 | 0.024274 | 0.004964 |
|
135 | model.layers.19.mlp.up_proj | 0.077495 | 4,096 | 14,336 | 3.5 | 2.774112 | -4.078 | 1.51257 | true | 0.033883 | dense | -3.924596 | -0.53195 | -1.47002 | 64 | 0.293799 | 4,096 | 15 | 4,032 | 1 | 0.458074 | 0.033883 | 8.671007 | success | 0.184073 | 0.000001 | 4,032 | 0.033883 | 0.003921 |
|
136 | model.layers.19.self_attn.k_proj | 0.04709 | 1,024 | 4,096 | 4 | 7.184724 | -17.316427 | 1.13296 | true | 0.003889 | dense | -17.108346 | -0.93864 | -2.410173 | 64 | 0.115175 | 1,024 | 56 | 960 | 1 | 0.826469 | 0.003889 | 29.616436 | success | 0.062361 | 0.000001 | under-trained | 960 | 0.003889 | 0.001541 |
137 | model.layers.19.self_attn.o_proj | 0.132094 | 4,096 | 4,096 | 1 | 2.775273 | -4.906047 | 1.50843 | true | 0.01707 | dense | -4.859072 | -0.945561 | -1.767771 | 64 | 0.113355 | 4,096 | 8 | 4,032 | 1 | 0.627654 | 0.01707 | 6.640643 | success | 0.130652 | 0 | 4,032 | 0.01707 | 0.001648 |
|
138 | model.layers.19.self_attn.q_proj | 0.093234 | 4,096 | 4,096 | 1 | 6.157941 | -12.076389 | 1.551054 | true | 0.010937 | dense | -11.927908 | -0.718626 | -1.961108 | 64 | 0.19115 | 4,096 | 61 | 4,032 | 1 | 0.660407 | 0.010937 | 17.477636 | success | 0.104579 | 0 | under-trained | 4,032 | 0.010937 | 0.002354 |
139 | model.layers.19.self_attn.v_proj | 0.125872 | 1,024 | 4,096 | 4 | 8.091071 | -18.958077 | 1.115843 | true | 0.004539 | dense | -18.958017 | -1.283993 | -2.343086 | 64 | 0.052 | 1,024 | 64 | 960 | 1 | 0.886384 | 0.004539 | 11.457603 | success | 0.067368 | 0.000001 | under-trained | 960 | 0.004539 | 0.000667 |
140 | model.layers.20.mlp.down_proj | 0.103056 | 4,096 | 14,336 | 3.5 | 2.946135 | -4.82915 | 1.532166 | true | 0.022954 | dense | -4.591432 | -0.573669 | -1.639147 | 64 | 0.266889 | 4,096 | 14 | 4,032 | 1 | 0.520127 | 0.022954 | 11.627288 | success | 0.151505 | 0.000001 | 4,032 | 0.022954 | 0.003648 |
|
141 | model.layers.20.mlp.gate_proj | 0.107723 | 4,096 | 14,336 | 3.5 | 3.137646 | -5.089113 | 1.541798 | true | 0.023881 | dense | -4.76666 | -0.448487 | -1.621953 | 64 | 0.356052 | 4,096 | 16 | 4,032 | 1 | 0.534411 | 0.023881 | 14.909585 | success | 0.154534 | 0.000001 | 4,032 | 0.023881 | 0.004929 |
|
142 | model.layers.20.mlp.up_proj | 0.093373 | 4,096 | 14,336 | 3.5 | 2.538296 | -3.817332 | 1.513797 | true | 0.03134 | dense | -3.580806 | -0.541189 | -1.503896 | 64 | 0.287615 | 4,096 | 11 | 4,032 | 1 | 0.463814 | 0.03134 | 9.177135 | success | 0.177032 | 0.000001 | 4,032 | 0.03134 | 0.004204 |
|
143 | model.layers.20.self_attn.k_proj | 0.031205 | 1,024 | 4,096 | 4 | 6.975102 | -16.712404 | 1.132022 | true | 0.004018 | dense | -16.606544 | -0.96967 | -2.396009 | 64 | 0.107233 | 1,024 | 60 | 960 | 1 | 0.771382 | 0.004018 | 26.689388 | success | 0.063386 | 0.000001 | under-trained | 960 | 0.004018 | 0.001405 |
144 | model.layers.20.self_attn.o_proj | 0.174078 | 4,096 | 4,096 | 1 | 3.007913 | -5.294946 | 1.514268 | true | 0.017364 | dense | -5.262796 | -0.917475 | -1.760339 | 64 | 0.120928 | 4,096 | 9 | 4,032 | 1 | 0.669304 | 0.017364 | 6.964087 | success | 0.131774 | 0 | 4,032 | 0.017364 | 0.001692 |
|
145 | model.layers.20.self_attn.q_proj | 0.092093 | 4,096 | 4,096 | 1 | 5.264649 | -10.24639 | 1.551539 | true | 0.011317 | dense | -10.111431 | -0.703507 | -1.946262 | 64 | 0.197921 | 4,096 | 36 | 4,032 | 1 | 0.710775 | 0.011317 | 17.488613 | success | 0.106382 | 0 | 4,032 | 0.011317 | 0.002627 |
|
146 | model.layers.20.self_attn.v_proj | 0.104626 | 1,024 | 4,096 | 4 | 7.85427 | -18.363858 | 1.118896 | true | 0.004591 | dense | -18.363723 | -1.243456 | -2.338073 | 64 | 0.057088 | 1,024 | 63 | 960 | 1 | 0.863557 | 0.004591 | 12.434187 | success | 0.067758 | 0.000001 | under-trained | 960 | 0.004591 | 0.000735 |
147 | model.layers.21.mlp.down_proj | 0.079596 | 4,096 | 14,336 | 3.5 | 3.029296 | -4.948785 | 1.529227 | true | 0.023247 | dense | -4.719165 | -0.57944 | -1.633642 | 64 | 0.263366 | 4,096 | 17 | 4,032 | 1 | 0.492176 | 0.023247 | 11.329282 | success | 0.152468 | 0.000001 | 4,032 | 0.023247 | 0.003376 |
|
148 | model.layers.21.mlp.gate_proj | 0.094017 | 4,096 | 14,336 | 3.5 | 2.989302 | -4.812227 | 1.542004 | true | 0.024557 | dense | -4.488498 | -0.449826 | -1.609817 | 64 | 0.354955 | 4,096 | 14 | 4,032 | 1 | 0.531663 | 0.024557 | 14.454076 | success | 0.156708 | 0.000001 | 4,032 | 0.024557 | 0.005015 |
|
149 | model.layers.21.mlp.up_proj | 0.091166 | 4,096 | 14,336 | 3.5 | 2.582572 | -3.912199 | 1.511829 | true | 0.03056 | dense | -3.678549 | -0.555985 | -1.514846 | 64 | 0.277981 | 4,096 | 12 | 4,032 | 1 | 0.456849 | 0.03056 | 9.096218 | success | 0.174814 | 0.000001 | 4,032 | 0.03056 | 0.003957 |
|
150 | model.layers.21.self_attn.k_proj | 0.079493 | 1,024 | 4,096 | 4 | 6.956964 | -15.629022 | 1.126659 | true | 0.005669 | dense | -15.582809 | -0.958626 | -2.246529 | 64 | 0.109995 | 1,024 | 64 | 960 | 1 | 0.744621 | 0.005669 | 19.404533 | success | 0.07529 | 0.000001 | under-trained | 960 | 0.005669 | 0.001404 |
151 | model.layers.21.self_attn.o_proj | 0.176281 | 4,096 | 4,096 | 1 | 3.370562 | -6.003884 | 1.513879 | true | 0.016547 | dense | -5.983528 | -0.932704 | -1.781271 | 64 | 0.116761 | 4,096 | 12 | 4,032 | 1 | 0.684322 | 0.016547 | 7.056139 | success | 0.128637 | 0 | 4,032 | 0.016547 | 0.001583 |
|
152 | model.layers.21.self_attn.q_proj | 0.066834 | 4,096 | 4,096 | 1 | 4.638017 | -8.909138 | 1.550841 | true | 0.011998 | dense | -8.793721 | -0.712162 | -1.920894 | 64 | 0.194016 | 4,096 | 24 | 4,032 | 1 | 0.742607 | 0.011998 | 16.170797 | success | 0.109535 | 0 | 4,032 | 0.011998 | 0.002747 |
|
153 | model.layers.21.self_attn.v_proj | 0.126238 | 1,024 | 4,096 | 4 | 3.311769 | -7.818543 | 1.118226 | true | 0.004357 | dense | -7.718305 | -1.265306 | -2.360836 | 64 | 0.054287 | 1,024 | 7 | 960 | 1 | 0.873766 | 0.004357 | 12.460354 | success | 0.066006 | 0.000001 | 960 | 0.004357 | 0.000847 |
|
154 | model.layers.22.mlp.down_proj | 0.074772 | 4,096 | 14,336 | 3.5 | 3.019885 | -4.901532 | 1.527962 | true | 0.023818 | dense | -4.668336 | -0.571874 | -1.623086 | 64 | 0.267994 | 4,096 | 18 | 4,032 | 1 | 0.476091 | 0.023818 | 11.251527 | success | 0.154332 | 0.000001 | 4,032 | 0.023818 | 0.003375 |
|
155 | model.layers.22.mlp.gate_proj | 0.095786 | 4,096 | 14,336 | 3.5 | 3.072182 | -4.98022 | 1.542248 | true | 0.023929 | dense | -4.653951 | -0.451267 | -1.621069 | 64 | 0.353779 | 4,096 | 15 | 4,032 | 1 | 0.535035 | 0.023929 | 14.784342 | success | 0.154691 | 0.000001 | 4,032 | 0.023929 | 0.00493 |
|
156 | model.layers.22.mlp.up_proj | 0.081175 | 4,096 | 14,336 | 3.5 | 2.789309 | -4.256108 | 1.512422 | true | 0.029794 | dense | -4.035986 | -0.551264 | -1.525865 | 64 | 0.281019 | 4,096 | 18 | 4,032 | 1 | 0.421744 | 0.029794 | 9.431942 | success | 0.172611 | 0.000001 | 4,032 | 0.029794 | 0.003397 |
|
157 | model.layers.22.self_attn.k_proj | 0.032389 | 1,024 | 4,096 | 4 | 6.590438 | -15.656089 | 1.131142 | true | 0.004211 | dense | -15.559769 | -0.975978 | -2.375576 | 64 | 0.105687 | 1,024 | 62 | 960 | 1 | 0.709986 | 0.004211 | 25.095661 | success | 0.064895 | 0.000001 | under-trained | 960 | 0.004211 | 0.001358 |
158 | model.layers.22.self_attn.o_proj | 0.167063 | 4,096 | 4,096 | 1 | 2.517164 | -4.428645 | 1.512564 | true | 0.017403 | dense | -4.347603 | -0.919943 | -1.759379 | 64 | 0.120242 | 4,096 | 5 | 4,032 | 1 | 0.678496 | 0.017403 | 6.909326 | success | 0.13192 | 0 | 4,032 | 0.017403 | 0.002152 |
|
159 | model.layers.22.self_attn.q_proj | 0.05687 | 4,096 | 4,096 | 1 | 4.553436 | -8.80271 | 1.551259 | true | 0.011663 | dense | -8.666579 | -0.705602 | -1.933201 | 64 | 0.196969 | 4,096 | 26 | 4,032 | 1 | 0.696886 | 0.011663 | 16.888807 | success | 0.107994 | 0 | 4,032 | 0.011663 | 0.002756 |
|
160 | model.layers.22.self_attn.v_proj | 0.118992 | 1,024 | 4,096 | 4 | 7.647707 | -17.960785 | 1.117166 | true | 0.004482 | dense | -17.960598 | -1.271057 | -2.348519 | 64 | 0.053573 | 1,024 | 64 | 960 | 1 | 0.830963 | 0.004482 | 11.952587 | success | 0.066948 | 0.000001 | under-trained | 960 | 0.004482 | 0.000682 |
161 | model.layers.23.mlp.down_proj | 0.081972 | 4,096 | 14,336 | 3.5 | 2.958241 | -4.783727 | 1.525407 | true | 0.02415 | dense | -4.528521 | -0.572288 | -1.617085 | 64 | 0.267739 | 4,096 | 17 | 4,032 | 1 | 0.474943 | 0.02415 | 11.086566 | success | 0.155402 | 0.000001 | 4,032 | 0.02415 | 0.003384 |
|
162 | model.layers.23.mlp.gate_proj | 0.11222 | 4,096 | 14,336 | 3.5 | 3.081949 | -4.980754 | 1.542534 | true | 0.024204 | dense | -4.654759 | -0.445724 | -1.616105 | 64 | 0.358324 | 4,096 | 14 | 4,032 | 1 | 0.556424 | 0.024204 | 14.804085 | success | 0.155578 | 0.000001 | 4,032 | 0.024204 | 0.005105 |
|
163 | model.layers.23.mlp.up_proj | 0.122277 | 4,096 | 14,336 | 3.5 | 2.754597 | -4.191707 | 1.510211 | true | 0.030081 | dense | -3.954775 | -0.550779 | -1.521713 | 64 | 0.281333 | 4,096 | 17 | 4,032 | 1 | 0.425552 | 0.030081 | 9.352628 | success | 0.173438 | 0.000001 | 4,032 | 0.030081 | 0.003429 |
|
164 | model.layers.23.self_attn.k_proj | 0.061232 | 1,024 | 4,096 | 4 | 6.808357 | -15.800998 | 1.129791 | true | 0.004777 | dense | -15.747591 | -0.965567 | -2.320824 | 64 | 0.108251 | 1,024 | 64 | 960 | 1 | 0.726045 | 0.004777 | 22.659834 | success | 0.069117 | 0.000001 | under-trained | 960 | 0.004777 | 0.001387 |
165 | model.layers.23.self_attn.o_proj | 0.095379 | 4,096 | 4,096 | 1 | 2.760744 | -4.795917 | 1.508561 | true | 0.018315 | dense | -4.753651 | -0.919109 | -1.737183 | 64 | 0.120473 | 4,096 | 9 | 4,032 | 1 | 0.586915 | 0.018315 | 6.577704 | success | 0.135335 | 0 | 4,032 | 0.018315 | 0.001733 |
|
166 | model.layers.23.self_attn.q_proj | 0.068262 | 4,096 | 4,096 | 1 | 5.252235 | -10.175315 | 1.552267 | true | 0.011552 | dense | -10.079469 | -0.701534 | -1.93733 | 64 | 0.198823 | 4,096 | 42 | 4,032 | 1 | 0.656134 | 0.011552 | 17.210617 | success | 0.107482 | 0 | 4,032 | 0.011552 | 0.002561 |
|
167 | model.layers.23.self_attn.v_proj | 0.111805 | 1,024 | 4,096 | 4 | 7.729375 | -18.155227 | 1.119943 | true | 0.004479 | dense | -18.155025 | -1.240277 | -2.348861 | 64 | 0.057507 | 1,024 | 64 | 960 | 1 | 0.841172 | 0.004479 | 12.840569 | success | 0.066922 | 0.000001 | under-trained | 960 | 0.004479 | 0.000739 |
168 | model.layers.24.mlp.down_proj | 0.086787 | 4,096 | 14,336 | 3.5 | 2.812475 | -4.423423 | 1.517943 | true | 0.026743 | dense | -4.199659 | -0.580988 | -1.572786 | 64 | 0.262429 | 4,096 | 16 | 4,032 | 1 | 0.453119 | 0.026743 | 9.81292 | success | 0.163534 | 0.000001 | 4,032 | 0.026743 | 0.003283 |
|
169 | model.layers.24.mlp.gate_proj | 0.108217 | 4,096 | 14,336 | 3.5 | 3.077065 | -4.972722 | 1.542911 | true | 0.024207 | dense | -4.642523 | -0.443429 | -1.61606 | 64 | 0.360223 | 4,096 | 14 | 4,032 | 1 | 0.555119 | 0.024207 | 14.880961 | success | 0.155586 | 0.000001 | 4,032 | 0.024207 | 0.005088 |
|
170 | model.layers.24.mlp.up_proj | 0.086578 | 4,096 | 14,336 | 3.5 | 2.725081 | -4.119051 | 1.506911 | true | 0.030794 | dense | -3.900914 | -0.560706 | -1.511533 | 64 | 0.274975 | 4,096 | 18 | 4,032 | 1 | 0.406606 | 0.030794 | 8.929493 | success | 0.175482 | 0.000001 | 4,032 | 0.030794 | 0.003231 |
|
171 | model.layers.24.self_attn.k_proj | 0.063295 | 1,024 | 4,096 | 4 | 6.460718 | -15.652908 | 1.129588 | true | 0.003778 | dense | -15.450463 | -1.012566 | -2.422781 | 64 | 0.097148 | 1,024 | 64 | 960 | 1 | 0.68259 | 0.003778 | 25.716692 | success | 0.061462 | 0.000001 | under-trained | 960 | 0.003778 | 0.001229 |
172 | model.layers.24.self_attn.o_proj | 0.123548 | 4,096 | 4,096 | 1 | 2.86961 | -4.954011 | 1.495066 | true | 0.018777 | dense | -4.914207 | -0.94394 | -1.726371 | 64 | 0.113778 | 4,096 | 11 | 4,032 | 1 | 0.563709 | 0.018777 | 6.059414 | success | 0.13703 | 0 | 4,032 | 0.018777 | 0.001498 |
|
173 | model.layers.24.self_attn.q_proj | 0.048025 | 4,096 | 4,096 | 1 | 4.735601 | -9.300159 | 1.550077 | true | 0.010867 | dense | -9.17374 | -0.746334 | -1.963881 | 64 | 0.179335 | 4,096 | 35 | 4,032 | 1 | 0.631432 | 0.010867 | 16.502409 | success | 0.104246 | 0 | 4,032 | 0.010867 | 0.002339 |
|
174 | model.layers.24.self_attn.v_proj | 0.141549 | 1,024 | 4,096 | 4 | 7.681461 | -18.182051 | 1.116182 | true | 0.004295 | dense | -18.180917 | -1.272719 | -2.367004 | 64 | 0.053368 | 1,024 | 64 | 960 | 1 | 0.835183 | 0.004295 | 12.424675 | success | 0.065539 | 0.000001 | under-trained | 960 | 0.004295 | 0.000677 |
175 | model.layers.25.mlp.down_proj | 0.084803 | 4,096 | 14,336 | 3.5 | 2.624031 | -4.078317 | 1.514263 | true | 0.027911 | dense | -3.840436 | -0.584362 | -1.554218 | 64 | 0.260398 | 4,096 | 14 | 4,032 | 1 | 0.434041 | 0.027911 | 9.329459 | success | 0.167067 | 0.000001 | 4,032 | 0.027911 | 0.003322 |
|
176 | model.layers.25.mlp.gate_proj | 0.106628 | 4,096 | 14,336 | 3.5 | 3.0995 | -4.974277 | 1.543284 | true | 0.024839 | dense | -4.675506 | -0.441108 | -1.604864 | 64 | 0.362153 | 4,096 | 14 | 4,032 | 1 | 0.561115 | 0.024839 | 14.579967 | success | 0.157604 | 0.000001 | 4,032 | 0.024839 | 0.005098 |
|
177 | model.layers.25.mlp.up_proj | 0.07333 | 4,096 | 14,336 | 3.5 | 2.721864 | -4.119572 | 1.507759 | true | 0.030654 | dense | -3.897811 | -0.561181 | -1.513511 | 64 | 0.274675 | 4,096 | 18 | 4,032 | 1 | 0.405847 | 0.030654 | 8.960459 | success | 0.175083 | 0.000001 | 4,032 | 0.030654 | 0.003226 |
|
178 | model.layers.25.self_attn.k_proj | 0.072017 | 1,024 | 4,096 | 4 | 5.910716 | -14.246115 | 1.127593 | true | 0.003888 | dense | -14.083166 | -1.045428 | -2.410218 | 64 | 0.090068 | 1,024 | 64 | 960 | 1 | 0.61384 | 0.003888 | 23.162771 | success | 0.062358 | 0.000001 | 960 | 0.003888 | 0.001109 |
|
179 | model.layers.25.self_attn.o_proj | 0.130917 | 4,096 | 4,096 | 1 | 2.535992 | -4.479667 | 1.503629 | true | 0.017122 | dense | -4.404227 | -0.953003 | -1.766436 | 64 | 0.111429 | 4,096 | 7 | 4,032 | 1 | 0.58055 | 0.017122 | 6.507784 | success | 0.130853 | 0 | 4,032 | 0.017122 | 0.001747 |
|
180 | model.layers.25.self_attn.q_proj | 0.06216 | 4,096 | 4,096 | 1 | 3.769991 | -7.473098 | 1.548359 | true | 0.010417 | dense | -7.207383 | -0.744584 | -1.982259 | 64 | 0.180059 | 4,096 | 21 | 4,032 | 1 | 0.604462 | 0.010417 | 17.285206 | success | 0.102064 | 0 | 4,032 | 0.010417 | 0.00259 |
|
181 | model.layers.25.self_attn.v_proj | 0.114343 | 1,024 | 4,096 | 4 | 7.043728 | -16.877178 | 1.120178 | true | 0.004017 | dense | -16.873665 | -1.252529 | -2.396058 | 64 | 0.055908 | 1,024 | 64 | 960 | 1 | 0.755466 | 0.004017 | 13.916468 | success | 0.063383 | 0.000001 | under-trained | 960 | 0.004017 | 0.000705 |
182 | model.layers.26.mlp.down_proj | 0.086084 | 4,096 | 14,336 | 3.5 | 2.73 | -4.124196 | 1.51121 | true | 0.030854 | dense | -3.946468 | -0.575053 | -1.510695 | 64 | 0.26604 | 4,096 | 15 | 4,032 | 1 | 0.446684 | 0.030854 | 8.622666 | success | 0.175652 | 0.000001 | 4,032 | 0.030854 | 0.003319 |
|
183 | model.layers.26.mlp.gate_proj | 0.1314 | 4,096 | 14,336 | 3.5 | 2.866928 | -4.578423 | 1.542788 | true | 0.025294 | dense | -4.226251 | -0.435548 | -1.596978 | 64 | 0.366819 | 4,096 | 11 | 4,032 | 1 | 0.5629 | 0.025294 | 14.502092 | success | 0.159042 | 0.000001 | 4,032 | 0.025294 | 0.005498 |
|
184 | model.layers.26.mlp.up_proj | 0.085293 | 4,096 | 14,336 | 3.5 | 2.72493 | -4.054374 | 1.507879 | true | 0.032518 | dense | -3.856305 | -0.548781 | -1.487882 | 64 | 0.28263 | 4,096 | 17 | 4,032 | 1 | 0.418357 | 0.032518 | 8.691625 | success | 0.180326 | 0.000001 | 4,032 | 0.032518 | 0.00337 |
|
185 | model.layers.26.self_attn.k_proj | 0.079312 | 1,024 | 4,096 | 4 | 3.89645 | -8.834109 | 1.120099 | true | 0.005405 | dense | -8.64514 | -1.048722 | -2.26722 | 64 | 0.089388 | 1,024 | 14 | 960 | 1 | 0.774109 | 0.005405 | 16.538574 | success | 0.073517 | 0.000001 | 960 | 0.005405 | 0.001399 |
|
186 | model.layers.26.self_attn.o_proj | 0.113602 | 4,096 | 4,096 | 1 | 2.523885 | -4.260975 | 1.480911 | true | 0.020499 | dense | -4.218082 | -0.967543 | -1.68826 | 64 | 0.10776 | 4,096 | 9 | 4,032 | 1 | 0.507962 | 0.020499 | 5.256752 | success | 0.143176 | 0 | 4,032 | 0.020499 | 0.001427 |
|
187 | model.layers.26.self_attn.q_proj | 0.058537 | 4,096 | 4,096 | 1 | 3.76136 | -7.07028 | 1.541981 | true | 0.013191 | dense | -6.90823 | -0.739166 | -1.879714 | 64 | 0.18232 | 4,096 | 23 | 4,032 | 1 | 0.575783 | 0.013191 | 13.821252 | success | 0.114853 | 0 | 4,032 | 0.013191 | 0.002525 |
|
188 | model.layers.26.self_attn.v_proj | 0.10874 | 1,024 | 4,096 | 4 | 7.005587 | -16.662293 | 1.116191 | true | 0.004184 | dense | -16.66157 | -1.297269 | -2.378429 | 64 | 0.050435 | 1,024 | 64 | 960 | 1 | 0.750698 | 0.004184 | 12.054801 | success | 0.064682 | 0.000001 | under-trained | 960 | 0.004184 | 0.00063 |
189 | model.layers.27.mlp.down_proj | 0.087225 | 4,096 | 14,336 | 3.5 | 2.767673 | -4.177903 | 1.508045 | true | 0.030936 | dense | -4.001064 | -0.581225 | -1.509537 | 64 | 0.262286 | 4,096 | 16 | 4,032 | 1 | 0.441918 | 0.030936 | 8.478357 | success | 0.175886 | 0.000001 | 4,032 | 0.030936 | 0.003187 |
|
190 | model.layers.27.mlp.gate_proj | 0.108623 | 4,096 | 14,336 | 3.5 | 3.015622 | -4.748994 | 1.541597 | true | 0.02662 | dense | -4.469618 | -0.43442 | -1.574798 | 64 | 0.367774 | 4,096 | 14 | 4,032 | 1 | 0.538698 | 0.02662 | 13.815862 | success | 0.163155 | 0.000001 | 4,032 | 0.02662 | 0.005123 |
|
191 | model.layers.27.mlp.up_proj | 0.080013 | 4,096 | 14,336 | 3.5 | 2.635323 | -3.936561 | 1.508264 | true | 0.03208 | dense | -3.709272 | -0.545852 | -1.493768 | 64 | 0.284543 | 4,096 | 16 | 4,032 | 1 | 0.408831 | 0.03208 | 8.869834 | success | 0.179108 | 0.000001 | 4,032 | 0.03208 | 0.003415 |
|
192 | model.layers.27.self_attn.k_proj | 0.100903 | 1,024 | 4,096 | 4 | 3.848036 | -8.653889 | 1.115134 | true | 0.005638 | dense | -8.428997 | -1.053695 | -2.24891 | 64 | 0.08837 | 1,024 | 18 | 960 | 1 | 0.671289 | 0.005638 | 15.675286 | success | 0.075084 | 0.000001 | 960 | 0.005638 | 0.001285 |
|
193 | model.layers.27.self_attn.o_proj | 0.149665 | 4,096 | 4,096 | 1 | 2.882353 | -4.807091 | 1.474397 | true | 0.02149 | dense | -4.79098 | -0.972003 | -1.667766 | 64 | 0.106659 | 4,096 | 12 | 4,032 | 1 | 0.543389 | 0.02149 | 4.963214 | success | 0.146594 | 0 | 4,032 | 0.02149 | 0.001339 |
|
194 | model.layers.27.self_attn.q_proj | 0.077458 | 4,096 | 4,096 | 1 | 4.298874 | -7.951557 | 1.530192 | true | 0.014136 | dense | -7.731489 | -0.766257 | -1.849683 | 64 | 0.171294 | 4,096 | 44 | 4,032 | 1 | 0.497324 | 0.014136 | 12.117868 | success | 0.118894 | 0 | 4,032 | 0.014136 | 0.001972 |
|
195 | model.layers.27.self_attn.v_proj | 0.11691 | 1,024 | 4,096 | 4 | 2.962216 | -6.823495 | 1.108643 | true | 0.004972 | dense | -6.732206 | -1.301896 | -2.30351 | 64 | 0.0499 | 1,024 | 7 | 960 | 1 | 0.741648 | 0.004972 | 10.037226 | success | 0.070509 | 0.000001 | 960 | 0.004972 | 0.000773 |
|
196 | model.layers.28.mlp.down_proj | 0.081542 | 4,096 | 14,336 | 3.5 | 2.671088 | -3.938925 | 1.503762 | true | 0.033523 | dense | -3.792632 | -0.58461 | -1.474652 | 64 | 0.260249 | 4,096 | 15 | 4,032 | 1 | 0.431473 | 0.033523 | 7.763222 | success | 0.183094 | 0.000001 | 4,032 | 0.033523 | 0.003181 |
|
197 | model.layers.28.mlp.gate_proj | 0.094254 | 4,096 | 14,336 | 3.5 | 2.926973 | -4.452223 | 1.536784 | true | 0.030123 | dense | -4.227278 | -0.4381 | -1.521102 | 64 | 0.36467 | 4,096 | 13 | 4,032 | 1 | 0.534446 | 0.030123 | 12.106011 | success | 0.17356 | 0.000001 | 4,032 | 0.030123 | 0.005213 |
|
198 | model.layers.28.mlp.up_proj | 0.104847 | 4,096 | 14,336 | 3.5 | 2.518493 | -3.692098 | 1.505129 | true | 0.034198 | dense | -3.464016 | -0.540147 | -1.465995 | 64 | 0.288305 | 4,096 | 12 | 4,032 | 1 | 0.438351 | 0.034198 | 8.43039 | success | 0.184928 | 0.000001 | 4,032 | 0.034198 | 0.003868 |
|
199 | model.layers.28.self_attn.k_proj | 0.078058 | 1,024 | 4,096 | 4 | 4.026448 | -9.461495 | 1.119544 | true | 0.004469 | dense | -9.104806 | -1.06835 | -2.349837 | 64 | 0.085438 | 1,024 | 20 | 960 | 1 | 0.676734 | 0.004469 | 19.11994 | success | 0.066847 | 0.000001 | 960 | 0.004469 | 0.001231 |
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