layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.03
0.12
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 2.98
23.9
| alpha_weighted
float64 -65.71
-6.41
| entropy
float64 1.11
1.57
| has_esd
bool 1
class | lambda_max
float32 0
0.02
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -64.96
-5.95
| log_norm
float32 -1.43
-0.48
| log_spectral_norm
float32 -2.81
-1.77
| matrix_rank
int64 64
64
| norm
float32 0.04
0.33
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 10
64
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.25
5.88
| spectral_norm
float32 0
0.02
| stable_rank
float32 7.52
56.2
| status
stringclasses 1
value | sv_max
float64 0.04
0.13
| sv_min
float64 0
0
| warning
stringclasses 2
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0
0.02
| xmin
float64 0
0
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
100 | model.layers.14.mlp.up_proj | 0.04407 | 4,096 | 14,336 | 3.5 | 5.35609 | -9.927089 | 1.560365 | true | 0.014015 | dense | -9.748356 | -0.481377 | -1.853421 | 64 | 0.330083 | 4,096 | 24 | 4,032 | 1 | 0.889183 | 0.014015 | 23.552853 | success | 0.118383 | 0.000001 | 4,032 | 0.014015 | 0.004832 |
|
101 | model.layers.14.self_attn.k_proj | 0.050633 | 1,024 | 4,096 | 4 | 7.090553 | -17.852702 | 1.13429 | true | 0.003035 | dense | -17.129008 | -0.910717 | -2.517815 | 64 | 0.122824 | 1,024 | 51 | 960 | 1 | 0.852848 | 0.003035 | 40.466755 | success | 0.055092 | 0.000001 | under-trained | 960 | 0.003035 | 0.001672 |
102 | model.layers.14.self_attn.o_proj | 0.027317 | 4,096 | 4,096 | 1 | 10.210347 | -23.017842 | 1.566375 | true | 0.005567 | dense | -22.823744 | -0.681389 | -2.254364 | 64 | 0.208262 | 4,096 | 56 | 4,032 | 1 | 1.230784 | 0.005567 | 37.408894 | success | 0.074614 | 0 | under-trained | 4,032 | 0.005567 | 0.002941 |
103 | model.layers.14.self_attn.q_proj | 0.049554 | 4,096 | 4,096 | 1 | 8.232165 | -19.06172 | 1.564752 | true | 0.004836 | dense | -18.963099 | -0.828161 | -2.315517 | 64 | 0.148538 | 4,096 | 33 | 4,032 | 1 | 1.258958 | 0.004836 | 30.715399 | success | 0.069541 | 0 | under-trained | 4,032 | 0.004836 | 0.002207 |
104 | model.layers.14.self_attn.v_proj | 0.079832 | 1,024 | 4,096 | 4 | 20.738459 | -53.412723 | 1.136854 | true | 0.002657 | dense | -53.051262 | -0.87145 | -2.57554 | 64 | 0.134447 | 1,024 | 17 | 960 | 1 | 4.78728 | 0.002657 | 50.592876 | success | 0.05155 | 0.000001 | under-trained | 960 | 0.002657 | 0.002202 |
105 | model.layers.15.mlp.down_proj | 0.029379 | 4,096 | 14,336 | 3.5 | 14.231365 | -30.512898 | 1.567433 | true | 0.007177 | dense | -30.400055 | -0.516115 | -2.14406 | 64 | 0.304709 | 4,096 | 64 | 4,032 | 1 | 1.653921 | 0.007177 | 42.456596 | success | 0.084717 | 0.000001 | under-trained | 4,032 | 0.007177 | 0.004398 |
106 | model.layers.15.mlp.gate_proj | 0.051791 | 4,096 | 14,336 | 3.5 | 5.879363 | -11.277452 | 1.560675 | true | 0.012074 | dense | -11.035696 | -0.507647 | -1.918142 | 64 | 0.310708 | 4,096 | 35 | 4,032 | 1 | 0.824763 | 0.012074 | 25.733248 | success | 0.109883 | 0.000001 | 4,032 | 0.012074 | 0.004324 |
|
107 | model.layers.15.mlp.up_proj | 0.04936 | 4,096 | 14,336 | 3.5 | 6.388651 | -12.393745 | 1.562404 | true | 0.011483 | dense | -12.144656 | -0.49289 | -1.939963 | 64 | 0.321448 | 4,096 | 30 | 4,032 | 1 | 0.983829 | 0.011483 | 27.99452 | success | 0.107157 | 0.000001 | under-trained | 4,032 | 0.011483 | 0.00465 |
108 | model.layers.15.self_attn.k_proj | 0.08746 | 1,024 | 4,096 | 4 | 12.41401 | -31.451232 | 1.13555 | true | 0.002927 | dense | -30.806589 | -0.867215 | -2.533527 | 64 | 0.135764 | 1,024 | 19 | 960 | 1 | 2.618554 | 0.002927 | 46.378033 | success | 0.054105 | 0.000001 | under-trained | 960 | 0.002927 | 0.002266 |
109 | model.layers.15.self_attn.o_proj | 0.073486 | 4,096 | 4,096 | 1 | 22.78947 | -54.912991 | 1.567856 | true | 0.003894 | dense | -54.643475 | -0.702228 | -2.409577 | 64 | 0.198505 | 4,096 | 14 | 4,032 | 1 | 5.823481 | 0.003894 | 50.974079 | success | 0.062404 | 0 | under-trained | 4,032 | 0.003894 | 0.003261 |
110 | model.layers.15.self_attn.q_proj | 0.038691 | 4,096 | 4,096 | 1 | 11.393952 | -27.145479 | 1.566538 | true | 0.004145 | dense | -27.047657 | -0.808669 | -2.382446 | 64 | 0.155357 | 4,096 | 27 | 4,032 | 1 | 2.000317 | 0.004145 | 37.478085 | success | 0.064384 | 0 | under-trained | 4,032 | 0.004145 | 0.002417 |
111 | model.layers.15.self_attn.v_proj | 0.09666 | 1,024 | 4,096 | 4 | 19.74294 | -52.107331 | 1.137044 | true | 0.002295 | dense | -51.163957 | -0.894979 | -2.639289 | 64 | 0.127356 | 1,024 | 26 | 960 | 1 | 3.675793 | 0.002295 | 55.502193 | success | 0.047902 | 0.000001 | under-trained | 960 | 0.002295 | 0.002011 |
112 | model.layers.16.mlp.down_proj | 0.03637 | 4,096 | 14,336 | 3.5 | 12.299618 | -25.960552 | 1.56721 | true | 0.00775 | dense | -25.864351 | -0.513355 | -2.11068 | 64 | 0.306651 | 4,096 | 27 | 4,032 | 1 | 2.174612 | 0.00775 | 39.566231 | success | 0.088036 | 0.000001 | under-trained | 4,032 | 0.00775 | 0.004679 |
113 | model.layers.16.mlp.gate_proj | 0.04882 | 4,096 | 14,336 | 3.5 | 5.786708 | -11.038166 | 1.56046 | true | 0.012374 | dense | -10.783695 | -0.500731 | -1.907503 | 64 | 0.315696 | 4,096 | 34 | 4,032 | 1 | 0.820914 | 0.012374 | 25.513638 | success | 0.111237 | 0.000001 | 4,032 | 0.012374 | 0.004401 |
|
114 | model.layers.16.mlp.up_proj | 0.050119 | 4,096 | 14,336 | 3.5 | 6.408145 | -12.304469 | 1.562002 | true | 0.012019 | dense | -12.090176 | -0.489292 | -1.92013 | 64 | 0.324122 | 4,096 | 32 | 4,032 | 1 | 0.956034 | 0.012019 | 26.9673 | success | 0.109631 | 0.000001 | under-trained | 4,032 | 0.012019 | 0.004628 |
115 | model.layers.16.self_attn.k_proj | 0.052562 | 1,024 | 4,096 | 4 | 7.736304 | -19.403313 | 1.134752 | true | 0.003104 | dense | -18.746053 | -0.895812 | -2.508086 | 64 | 0.127113 | 1,024 | 47 | 960 | 1 | 0.982591 | 0.003104 | 40.951885 | success | 0.055713 | 0.000001 | under-trained | 960 | 0.003104 | 0.001778 |
116 | model.layers.16.self_attn.o_proj | 0.044595 | 4,096 | 4,096 | 1 | 16.782293 | -39.838156 | 1.567677 | true | 0.004228 | dense | -39.667576 | -0.707306 | -2.373821 | 64 | 0.196198 | 4,096 | 31 | 4,032 | 1 | 2.834584 | 0.004228 | 46.399624 | success | 0.065026 | 0 | under-trained | 4,032 | 0.004228 | 0.003038 |
117 | model.layers.16.self_attn.q_proj | 0.059982 | 4,096 | 4,096 | 1 | 9.882449 | -23.644621 | 1.566412 | true | 0.00405 | dense | -23.432238 | -0.811707 | -2.392587 | 64 | 0.154274 | 4,096 | 35 | 4,032 | 1 | 1.501408 | 0.00405 | 38.096092 | success | 0.063637 | 0 | under-trained | 4,032 | 0.00405 | 0.002305 |
118 | model.layers.16.self_attn.v_proj | 0.110164 | 1,024 | 4,096 | 4 | 17.070893 | -45.159406 | 1.137101 | true | 0.002263 | dense | -44.087106 | -0.895655 | -2.645404 | 64 | 0.127158 | 1,024 | 39 | 960 | 1 | 2.573402 | 0.002263 | 56.201641 | success | 0.047566 | 0.000001 | under-trained | 960 | 0.002263 | 0.001937 |
119 | model.layers.17.mlp.down_proj | 0.045365 | 4,096 | 14,336 | 3.5 | 12.22335 | -25.598136 | 1.566806 | true | 0.00805 | dense | -25.536009 | -0.521363 | -2.0942 | 64 | 0.301049 | 4,096 | 64 | 4,032 | 1 | 1.402919 | 0.00805 | 37.39695 | success | 0.089722 | 0.000001 | under-trained | 4,032 | 0.00805 | 0.004277 |
120 | model.layers.17.mlp.gate_proj | 0.04479 | 4,096 | 14,336 | 3.5 | 6.020877 | -11.465776 | 1.561047 | true | 0.012464 | dense | -11.293104 | -0.506241 | -1.904336 | 64 | 0.311716 | 4,096 | 31 | 4,032 | 1 | 0.901776 | 0.012464 | 25.008944 | success | 0.111643 | 0.000001 | under-trained | 4,032 | 0.012464 | 0.00445 |
121 | model.layers.17.mlp.up_proj | 0.055498 | 4,096 | 14,336 | 3.5 | 6.33513 | -12.266333 | 1.562622 | true | 0.011581 | dense | -12.056853 | -0.498333 | -1.93624 | 64 | 0.317444 | 4,096 | 25 | 4,032 | 1 | 1.067026 | 0.011581 | 27.40988 | success | 0.107617 | 0.000001 | under-trained | 4,032 | 0.011581 | 0.004714 |
122 | model.layers.17.self_attn.k_proj | 0.050712 | 1,024 | 4,096 | 4 | 7.179098 | -18.214098 | 1.134169 | true | 0.002903 | dense | -17.593216 | -0.947164 | -2.537101 | 64 | 0.112937 | 1,024 | 48 | 960 | 1 | 0.891876 | 0.002903 | 38.898895 | success | 0.053883 | 0.000001 | under-trained | 960 | 0.002903 | 0.001556 |
123 | model.layers.17.self_attn.o_proj | 0.054669 | 4,096 | 4,096 | 1 | 17.646075 | -43.286266 | 1.567636 | true | 0.003524 | dense | -42.894703 | -0.759549 | -2.453025 | 64 | 0.173961 | 4,096 | 19 | 4,032 | 1 | 3.818872 | 0.003524 | 49.371487 | success | 0.059359 | 0 | under-trained | 4,032 | 0.003524 | 0.002814 |
124 | model.layers.17.self_attn.q_proj | 0.035606 | 4,096 | 4,096 | 1 | 8.667275 | -20.609269 | 1.565403 | true | 0.00419 | dense | -20.455829 | -0.848533 | -2.377826 | 64 | 0.141732 | 4,096 | 32 | 4,032 | 1 | 1.355396 | 0.00419 | 33.82925 | success | 0.064727 | 0 | under-trained | 4,032 | 0.00419 | 0.00213 |
125 | model.layers.17.self_attn.v_proj | 0.103416 | 1,024 | 4,096 | 4 | 22.441121 | -59.716689 | 1.136952 | true | 0.002183 | dense | -59.160964 | -0.936391 | -2.661039 | 64 | 0.115773 | 1,024 | 18 | 960 | 1 | 5.053721 | 0.002183 | 53.045414 | success | 0.046718 | 0.000001 | under-trained | 960 | 0.002183 | 0.001888 |
126 | model.layers.18.mlp.down_proj | 0.047888 | 4,096 | 14,336 | 3.5 | 13.341258 | -28.149363 | 1.566923 | true | 0.007763 | dense | -28.090671 | -0.529976 | -2.109948 | 64 | 0.295137 | 4,096 | 64 | 4,032 | 1 | 1.542657 | 0.007763 | 38.016453 | success | 0.08811 | 0.000001 | under-trained | 4,032 | 0.007763 | 0.004229 |
127 | model.layers.18.mlp.gate_proj | 0.047416 | 4,096 | 14,336 | 3.5 | 5.802708 | -11.059557 | 1.559926 | true | 0.012419 | dense | -10.841252 | -0.517615 | -1.905931 | 64 | 0.303658 | 4,096 | 34 | 4,032 | 1 | 0.823658 | 0.012419 | 24.45204 | success | 0.111438 | 0.000001 | 4,032 | 0.012419 | 0.00423 |
|
128 | model.layers.18.mlp.up_proj | 0.05985 | 4,096 | 14,336 | 3.5 | 6.70596 | -12.740621 | 1.56102 | true | 0.012592 | dense | -12.626483 | -0.511941 | -1.899895 | 64 | 0.307652 | 4,096 | 47 | 4,032 | 1 | 0.8323 | 0.012592 | 24.431744 | success | 0.112215 | 0.000001 | under-trained | 4,032 | 0.012592 | 0.004142 |
129 | model.layers.18.self_attn.k_proj | 0.108372 | 1,024 | 4,096 | 4 | 6.960606 | -17.857317 | 1.135391 | true | 0.00272 | dense | -16.791156 | -0.89 | -2.565483 | 64 | 0.128825 | 1,024 | 54 | 960 | 1 | 0.811136 | 0.00272 | 47.367775 | success | 0.05215 | 0.000001 | under-trained | 960 | 0.00272 | 0.00174 |
130 | model.layers.18.self_attn.o_proj | 0.088649 | 4,096 | 4,096 | 1 | 8.089083 | -17.517363 | 1.561164 | true | 0.00683 | dense | -17.390266 | -0.768608 | -2.165556 | 64 | 0.17037 | 4,096 | 64 | 4,032 | 1 | 0.886135 | 0.00683 | 24.942989 | success | 0.082646 | 0 | under-trained | 4,032 | 0.00683 | 0.002256 |
131 | model.layers.18.self_attn.q_proj | 0.046052 | 4,096 | 4,096 | 1 | 8.924982 | -21.457456 | 1.566115 | true | 0.003943 | dense | -21.25436 | -0.8447 | -2.404202 | 64 | 0.142988 | 4,096 | 44 | 4,032 | 1 | 1.194736 | 0.003943 | 36.26619 | success | 0.062791 | 0 | under-trained | 4,032 | 0.003943 | 0.002054 |
132 | model.layers.18.self_attn.v_proj | 0.050976 | 1,024 | 4,096 | 4 | 14.76355 | -38.182098 | 1.136514 | true | 0.002593 | dense | -37.95285 | -0.933353 | -2.586241 | 64 | 0.116586 | 1,024 | 18 | 960 | 1 | 3.2441 | 0.002593 | 44.966438 | success | 0.050919 | 0.000001 | under-trained | 960 | 0.002593 | 0.001889 |
133 | model.layers.19.mlp.down_proj | 0.052127 | 4,096 | 14,336 | 3.5 | 15.739191 | -33.756519 | 1.567286 | true | 0.007166 | dense | -33.731273 | -0.550695 | -2.144743 | 64 | 0.281388 | 4,096 | 64 | 4,032 | 1 | 1.842399 | 0.007166 | 39.268841 | success | 0.08465 | 0.000001 | under-trained | 4,032 | 0.007166 | 0.004091 |
134 | model.layers.19.mlp.gate_proj | 0.046502 | 4,096 | 14,336 | 3.5 | 5.941198 | -11.533365 | 1.560244 | true | 0.011448 | dense | -11.287487 | -0.541057 | -1.941252 | 64 | 0.287702 | 4,096 | 37 | 4,032 | 1 | 0.812328 | 0.011448 | 25.130192 | success | 0.106998 | 0.000001 | 4,032 | 0.011448 | 0.003959 |
|
135 | model.layers.19.mlp.up_proj | 0.058156 | 4,096 | 14,336 | 3.5 | 6.254391 | -12.406597 | 1.561834 | true | 0.010383 | dense | -12.083018 | -0.539091 | -1.983662 | 64 | 0.289008 | 4,096 | 29 | 4,032 | 1 | 0.975716 | 0.010383 | 27.8337 | success | 0.101899 | 0.000001 | under-trained | 4,032 | 0.010383 | 0.004184 |
136 | model.layers.19.self_attn.k_proj | 0.052233 | 1,024 | 4,096 | 4 | 7.138026 | -18.337259 | 1.134431 | true | 0.002698 | dense | -17.599834 | -0.95689 | -2.568954 | 64 | 0.110436 | 1,024 | 50 | 960 | 1 | 0.868048 | 0.002698 | 40.932098 | success | 0.051943 | 0.000001 | under-trained | 960 | 0.002698 | 0.001515 |
137 | model.layers.19.self_attn.o_proj | 0.075721 | 4,096 | 4,096 | 1 | 18.962458 | -47.43336 | 1.567721 | true | 0.003152 | dense | -47.108238 | -0.806771 | -2.501435 | 64 | 0.156037 | 4,096 | 16 | 4,032 | 1 | 4.490614 | 0.003152 | 49.506718 | success | 0.056141 | 0 | under-trained | 4,032 | 0.003152 | 0.002545 |
138 | model.layers.19.self_attn.q_proj | 0.049252 | 4,096 | 4,096 | 1 | 11.574794 | -28.732051 | 1.566537 | true | 0.003294 | dense | -28.514098 | -0.873983 | -2.482295 | 64 | 0.133665 | 4,096 | 22 | 4,032 | 1 | 2.254554 | 0.003294 | 40.579983 | success | 0.057392 | 0 | under-trained | 4,032 | 0.003294 | 0.002148 |
139 | model.layers.19.self_attn.v_proj | 0.112999 | 1,024 | 4,096 | 4 | 11.720165 | -31.715583 | 1.137021 | true | 0.001968 | dense | -30.618044 | -0.971436 | -2.70607 | 64 | 0.106798 | 1,024 | 63 | 960 | 1 | 1.350614 | 0.001968 | 54.279236 | success | 0.044357 | 0.000001 | under-trained | 960 | 0.001968 | 0.001519 |
140 | model.layers.20.mlp.down_proj | 0.061206 | 4,096 | 14,336 | 3.5 | 18.627453 | -40.568402 | 1.567502 | true | 0.006639 | dense | -40.560511 | -0.577345 | -2.177882 | 64 | 0.26464 | 4,096 | 63 | 4,032 | 1 | 2.22085 | 0.006639 | 39.860016 | success | 0.081481 | 0.000001 | under-trained | 4,032 | 0.006639 | 0.003898 |
141 | model.layers.20.mlp.gate_proj | 0.051517 | 4,096 | 14,336 | 3.5 | 6.108503 | -12.000854 | 1.560681 | true | 0.010849 | dense | -11.798363 | -0.563479 | -1.964615 | 64 | 0.273225 | 4,096 | 39 | 4,032 | 1 | 0.818015 | 0.010849 | 25.184643 | success | 0.104158 | 0.000001 | under-trained | 4,032 | 0.010849 | 0.003738 |
142 | model.layers.20.mlp.up_proj | 0.058065 | 4,096 | 14,336 | 3.5 | 6.712795 | -13.641759 | 1.562814 | true | 0.009285 | dense | -13.338223 | -0.568168 | -2.032203 | 64 | 0.270291 | 4,096 | 30 | 4,032 | 1 | 1.043009 | 0.009285 | 29.109493 | success | 0.09636 | 0.000001 | under-trained | 4,032 | 0.009285 | 0.003918 |
143 | model.layers.20.self_attn.k_proj | 0.041516 | 1,024 | 4,096 | 4 | 7.861621 | -20.866377 | 1.134635 | true | 0.002217 | dense | -20.097021 | -1.026386 | -2.654208 | 64 | 0.094105 | 1,024 | 37 | 960 | 1 | 1.128044 | 0.002217 | 42.444511 | success | 0.047086 | 0.000001 | under-trained | 960 | 0.002217 | 0.001376 |
144 | model.layers.20.self_attn.o_proj | 0.052326 | 4,096 | 4,096 | 1 | 15.763416 | -40.379479 | 1.567751 | true | 0.002744 | dense | -40.009999 | -0.874711 | -2.561594 | 64 | 0.133441 | 4,096 | 37 | 4,032 | 1 | 2.427091 | 0.002744 | 48.627666 | success | 0.052384 | 0 | under-trained | 4,032 | 0.002744 | 0.002028 |
145 | model.layers.20.self_attn.q_proj | 0.044572 | 4,096 | 4,096 | 1 | 8.874127 | -21.844081 | 1.565419 | true | 0.003455 | dense | -21.730231 | -0.940223 | -2.461547 | 64 | 0.114756 | 4,096 | 25 | 4,032 | 1 | 1.574825 | 0.003455 | 33.214188 | success | 0.05878 | 0 | under-trained | 4,032 | 0.003455 | 0.001787 |
146 | model.layers.20.self_attn.v_proj | 0.101759 | 1,024 | 4,096 | 4 | 23.903313 | -65.707531 | 1.137016 | true | 0.001783 | dense | -64.963068 | -1.009508 | -2.748888 | 64 | 0.097834 | 1,024 | 21 | 960 | 1 | 4.997913 | 0.001783 | 54.875648 | success | 0.042224 | 0.000001 | under-trained | 960 | 0.001783 | 0.00158 |
147 | model.layers.21.mlp.down_proj | 0.067235 | 4,096 | 14,336 | 3.5 | 20.880401 | -46.272757 | 1.56767 | true | 0.00608 | dense | -46.269135 | -0.604594 | -2.216086 | 64 | 0.248545 | 4,096 | 63 | 4,032 | 1 | 2.504695 | 0.00608 | 40.878166 | success | 0.077975 | 0.000001 | under-trained | 4,032 | 0.00608 | 0.003686 |
148 | model.layers.21.mlp.gate_proj | 0.047487 | 4,096 | 14,336 | 3.5 | 6.654224 | -13.189706 | 1.561156 | true | 0.010419 | dense | -13.053557 | -0.584819 | -1.982155 | 64 | 0.260124 | 4,096 | 47 | 4,032 | 1 | 0.824753 | 0.010419 | 24.965286 | success | 0.102076 | 0.000001 | under-trained | 4,032 | 0.010419 | 0.003499 |
149 | model.layers.21.mlp.up_proj | 0.058968 | 4,096 | 14,336 | 3.5 | 6.700749 | -13.659004 | 1.562909 | true | 0.009153 | dense | -13.446833 | -0.590596 | -2.038429 | 64 | 0.256687 | 4,096 | 28 | 4,032 | 1 | 1.07734 | 0.009153 | 28.043589 | success | 0.095672 | 0.000001 | under-trained | 4,032 | 0.009153 | 0.003754 |
150 | model.layers.21.self_attn.k_proj | 0.049508 | 1,024 | 4,096 | 4 | 6.538743 | -17.295736 | 1.133256 | true | 0.002264 | dense | -16.618364 | -1.068307 | -2.645116 | 64 | 0.085446 | 1,024 | 46 | 960 | 1 | 0.816643 | 0.002264 | 37.740685 | success | 0.047582 | 0.000001 | under-trained | 960 | 0.002264 | 0.001169 |
151 | model.layers.21.self_attn.o_proj | 0.065618 | 4,096 | 4,096 | 1 | 16.770174 | -44.283508 | 1.567853 | true | 0.002288 | dense | -43.920455 | -0.94789 | -2.640611 | 64 | 0.112748 | 4,096 | 38 | 4,032 | 1 | 2.55826 | 0.002288 | 49.285667 | success | 0.047829 | 0 | under-trained | 4,032 | 0.002288 | 0.001711 |
152 | model.layers.21.self_attn.q_proj | 0.049632 | 4,096 | 4,096 | 1 | 9.066903 | -22.476881 | 1.564873 | true | 0.003319 | dense | -22.418352 | -0.988838 | -2.479003 | 64 | 0.102603 | 4,096 | 19 | 4,032 | 1 | 1.850674 | 0.003319 | 30.914713 | success | 0.05761 | 0 | under-trained | 4,032 | 0.003319 | 0.001678 |
153 | model.layers.21.self_attn.v_proj | 0.102323 | 1,024 | 4,096 | 4 | 12.668749 | -35.473683 | 1.136968 | true | 0.001585 | dense | -34.520934 | -1.075054 | -2.800094 | 64 | 0.084129 | 1,024 | 54 | 960 | 1 | 1.587916 | 0.001585 | 53.093327 | success | 0.039806 | 0.000001 | under-trained | 960 | 0.001585 | 0.001223 |
154 | model.layers.22.mlp.down_proj | 0.065357 | 4,096 | 14,336 | 3.5 | 21.333619 | -47.843349 | 1.567693 | true | 0.00572 | dense | -47.83868 | -0.625556 | -2.242627 | 64 | 0.236834 | 4,096 | 63 | 4,032 | 1 | 2.561795 | 0.00572 | 41.406754 | success | 0.075629 | 0.000001 | under-trained | 4,032 | 0.00572 | 0.003517 |
155 | model.layers.22.mlp.gate_proj | 0.052411 | 4,096 | 14,336 | 3.5 | 6.327244 | -12.577383 | 1.561112 | true | 0.010285 | dense | -12.401841 | -0.586662 | -1.987814 | 64 | 0.259023 | 4,096 | 35 | 4,032 | 1 | 0.900469 | 0.010285 | 25.185551 | success | 0.101413 | 0.000001 | under-trained | 4,032 | 0.010285 | 0.003633 |
156 | model.layers.22.mlp.up_proj | 0.055813 | 4,096 | 14,336 | 3.5 | 6.512486 | -13.175072 | 1.56233 | true | 0.009483 | dense | -12.987822 | -0.595345 | -2.023048 | 64 | 0.253895 | 4,096 | 29 | 4,032 | 1 | 1.023643 | 0.009483 | 26.773323 | success | 0.097381 | 0.000001 | under-trained | 4,032 | 0.009483 | 0.003677 |
157 | model.layers.22.self_attn.k_proj | 0.049827 | 1,024 | 4,096 | 4 | 6.607918 | -17.565098 | 1.132208 | true | 0.002197 | dense | -16.957388 | -1.10369 | -2.65819 | 64 | 0.078761 | 1,024 | 29 | 960 | 1 | 1.041364 | 0.002197 | 35.850883 | success | 0.046871 | 0.000001 | under-trained | 960 | 0.002197 | 0.001194 |
158 | model.layers.22.self_attn.o_proj | 0.041494 | 4,096 | 4,096 | 1 | 13.129645 | -34.940046 | 1.567293 | true | 0.002182 | dense | -34.489469 | -1.004539 | -2.661157 | 64 | 0.09896 | 4,096 | 55 | 4,032 | 1 | 1.635561 | 0.002182 | 45.354275 | success | 0.046711 | 0 | under-trained | 4,032 | 0.002182 | 0.001436 |
159 | model.layers.22.self_attn.q_proj | 0.04183 | 4,096 | 4,096 | 1 | 7.694742 | -19.28764 | 1.564005 | true | 0.003115 | dense | -19.193126 | -1.041616 | -2.5066 | 64 | 0.090862 | 4,096 | 27 | 4,032 | 1 | 1.288404 | 0.003115 | 29.173191 | success | 0.055808 | 0 | under-trained | 4,032 | 0.003115 | 0.001394 |
160 | model.layers.22.self_attn.v_proj | 0.079668 | 1,024 | 4,096 | 4 | 19.708094 | -55.116658 | 1.136799 | true | 0.001597 | dense | -54.796141 | -1.100267 | -2.796651 | 64 | 0.079384 | 1,024 | 15 | 960 | 1 | 4.830409 | 0.001597 | 49.703156 | success | 0.039965 | 0.000001 | under-trained | 960 | 0.001597 | 0.001312 |
161 | model.layers.23.mlp.down_proj | 0.067607 | 4,096 | 14,336 | 3.5 | 21.848974 | -49.418214 | 1.567716 | true | 0.005473 | dense | -49.41545 | -0.647612 | -2.261809 | 64 | 0.225106 | 4,096 | 64 | 4,032 | 1 | 2.606122 | 0.005473 | 41.133663 | success | 0.073977 | 0.000001 | under-trained | 4,032 | 0.005473 | 0.003344 |
162 | model.layers.23.mlp.gate_proj | 0.056297 | 4,096 | 14,336 | 3.5 | 6.059427 | -11.977099 | 1.560636 | true | 0.010553 | dense | -11.811683 | -0.592699 | -1.976606 | 64 | 0.255447 | 4,096 | 28 | 4,032 | 1 | 0.956142 | 0.010553 | 24.205093 | success | 0.10273 | 0.000001 | under-trained | 4,032 | 0.010553 | 0.003698 |
163 | model.layers.23.mlp.up_proj | 0.063931 | 4,096 | 14,336 | 3.5 | 6.466909 | -13.111112 | 1.561809 | true | 0.009388 | dense | -12.900208 | -0.607263 | -2.027416 | 64 | 0.247023 | 4,096 | 29 | 4,032 | 1 | 1.015179 | 0.009388 | 26.311918 | success | 0.096893 | 0.000001 | under-trained | 4,032 | 0.009388 | 0.003575 |
164 | model.layers.23.self_attn.k_proj | 0.047964 | 1,024 | 4,096 | 4 | 5.956014 | -16.085416 | 1.131418 | true | 0.001992 | dense | -15.357696 | -1.148579 | -2.700702 | 64 | 0.071027 | 1,024 | 64 | 960 | 1 | 0.619502 | 0.001992 | 35.65517 | success | 0.044632 | 0.000001 | 960 | 0.001992 | 0.000886 |
|
165 | model.layers.23.self_attn.o_proj | 0.057257 | 4,096 | 4,096 | 1 | 9.506238 | -23.880512 | 1.565192 | true | 0.003075 | dense | -23.710591 | -0.986447 | -2.512089 | 64 | 0.10317 | 4,096 | 64 | 4,032 | 1 | 1.06328 | 0.003075 | 33.546062 | success | 0.055457 | 0 | under-trained | 4,032 | 0.003075 | 0.001416 |
166 | model.layers.23.self_attn.q_proj | 0.043697 | 4,096 | 4,096 | 1 | 6.710396 | -17.197635 | 1.564053 | true | 0.002736 | dense | -16.960834 | -1.072318 | -2.562835 | 64 | 0.084661 | 4,096 | 45 | 4,032 | 1 | 0.851256 | 0.002736 | 30.93972 | success | 0.05231 | 0 | under-trained | 4,032 | 0.002736 | 0.001165 |
167 | model.layers.23.self_attn.v_proj | 0.07277 | 1,024 | 4,096 | 4 | 12.088783 | -33.232434 | 1.136598 | true | 0.001782 | dense | -32.706667 | -1.075935 | -2.749031 | 64 | 0.083959 | 1,024 | 44 | 960 | 1 | 1.671697 | 0.001782 | 47.108139 | success | 0.042217 | 0.000001 | under-trained | 960 | 0.001782 | 0.001241 |
168 | model.layers.24.mlp.down_proj | 0.065622 | 4,096 | 14,336 | 3.5 | 21.169251 | -48.697705 | 1.567789 | true | 0.005007 | dense | -48.690095 | -0.671119 | -2.300398 | 64 | 0.213246 | 4,096 | 64 | 4,032 | 1 | 2.521156 | 0.005007 | 42.587193 | success | 0.070762 | 0.000001 | under-trained | 4,032 | 0.005007 | 0.003164 |
169 | model.layers.24.mlp.gate_proj | 0.06806 | 4,096 | 14,336 | 3.5 | 6.658305 | -13.271129 | 1.560756 | true | 0.010159 | dense | -13.148111 | -0.613375 | -1.993169 | 64 | 0.243571 | 4,096 | 39 | 4,032 | 1 | 0.906054 | 0.010159 | 23.976974 | success | 0.10079 | 0.000001 | under-trained | 4,032 | 0.010159 | 0.00337 |
170 | model.layers.24.mlp.up_proj | 0.078056 | 4,096 | 14,336 | 3.5 | 6.230828 | -12.752574 | 1.562227 | true | 0.008981 | dense | -12.565062 | -0.631209 | -2.04669 | 64 | 0.233771 | 4,096 | 22 | 4,032 | 1 | 1.115216 | 0.008981 | 26.030411 | success | 0.094767 | 0.000001 | under-trained | 4,032 | 0.008981 | 0.003496 |
171 | model.layers.24.self_attn.k_proj | 0.037613 | 1,024 | 4,096 | 4 | 5.32169 | -14.107453 | 1.13031 | true | 0.002234 | dense | -13.541941 | -1.153247 | -2.650934 | 64 | 0.070267 | 1,024 | 52 | 960 | 1 | 0.599311 | 0.002234 | 31.454811 | success | 0.047264 | 0.000001 | 960 | 0.002234 | 0.000892 |
|
172 | model.layers.24.self_attn.o_proj | 0.044291 | 4,096 | 4,096 | 1 | 13.472331 | -36.547637 | 1.56741 | true | 0.001937 | dense | -36.173019 | -1.054174 | -2.712792 | 64 | 0.088273 | 4,096 | 58 | 4,032 | 1 | 1.637697 | 0.001937 | 45.563667 | success | 0.044015 | 0 | under-trained | 4,032 | 0.001937 | 0.001278 |
173 | model.layers.24.self_attn.q_proj | 0.039975 | 4,096 | 4,096 | 1 | 7.641116 | -19.853336 | 1.564035 | true | 0.002522 | dense | -19.672138 | -1.105511 | -2.598225 | 64 | 0.078431 | 4,096 | 30 | 4,032 | 1 | 1.212496 | 0.002522 | 31.096643 | success | 0.050221 | 0 | under-trained | 4,032 | 0.002522 | 0.001185 |
174 | model.layers.24.self_attn.v_proj | 0.087479 | 1,024 | 4,096 | 4 | 22.192286 | -62.33312 | 1.136846 | true | 0.001553 | dense | -61.984562 | -1.103115 | -2.808774 | 64 | 0.078865 | 1,024 | 13 | 960 | 1 | 5.877683 | 0.001553 | 50.776108 | success | 0.039411 | 0.000001 | under-trained | 960 | 0.001553 | 0.001317 |
175 | model.layers.25.mlp.down_proj | 0.048318 | 4,096 | 14,336 | 3.5 | 20.719397 | -47.925841 | 1.567751 | true | 0.004863 | dense | -47.917582 | -0.686748 | -2.313091 | 64 | 0.205709 | 4,096 | 64 | 4,032 | 1 | 2.464925 | 0.004863 | 42.300262 | success | 0.069736 | 0.000001 | under-trained | 4,032 | 0.004863 | 0.003048 |
176 | model.layers.25.mlp.gate_proj | 0.069656 | 4,096 | 14,336 | 3.5 | 6.934986 | -13.859512 | 1.561265 | true | 0.010035 | dense | -13.775954 | -0.623837 | -1.998492 | 64 | 0.237773 | 4,096 | 35 | 4,032 | 1 | 1.003196 | 0.010035 | 23.694872 | success | 0.100174 | 0.000001 | under-trained | 4,032 | 0.010035 | 0.003364 |
177 | model.layers.25.mlp.up_proj | 0.099564 | 4,096 | 14,336 | 3.5 | 7.081751 | -14.561236 | 1.562385 | true | 0.008787 | dense | -14.43802 | -0.646459 | -2.056163 | 64 | 0.225705 | 4,096 | 27 | 4,032 | 1 | 1.170433 | 0.008787 | 25.686459 | success | 0.093739 | 0.000001 | under-trained | 4,032 | 0.008787 | 0.003317 |
178 | model.layers.25.self_attn.k_proj | 0.055758 | 1,024 | 4,096 | 4 | 7.444985 | -20.07066 | 1.133036 | true | 0.002014 | dense | -19.664577 | -1.152309 | -2.695863 | 64 | 0.070419 | 1,024 | 25 | 960 | 1 | 1.288997 | 0.002014 | 34.958603 | success | 0.044882 | 0.000001 | under-trained | 960 | 0.002014 | 0.00111 |
179 | model.layers.25.self_attn.o_proj | 0.050357 | 4,096 | 4,096 | 1 | 11.625005 | -31.168731 | 1.566863 | true | 0.002084 | dense | -30.821281 | -1.057331 | -2.68118 | 64 | 0.087633 | 4,096 | 64 | 4,032 | 1 | 1.328126 | 0.002084 | 42.058033 | success | 0.045647 | 0 | under-trained | 4,032 | 0.002084 | 0.001239 |
180 | model.layers.25.self_attn.q_proj | 0.049175 | 4,096 | 4,096 | 1 | 6.111549 | -16.078789 | 1.564285 | true | 0.002339 | dense | -15.621483 | -1.100344 | -2.630886 | 64 | 0.07937 | 4,096 | 64 | 4,032 | 1 | 0.638944 | 0.002339 | 33.926746 | success | 0.048368 | 0 | under-trained | 4,032 | 0.002339 | 0.001004 |
181 | model.layers.25.self_attn.v_proj | 0.061502 | 1,024 | 4,096 | 4 | 15.363986 | -43.231103 | 1.13677 | true | 0.001535 | dense | -42.63318 | -1.112548 | -2.813795 | 64 | 0.077171 | 1,024 | 28 | 960 | 1 | 2.714538 | 0.001535 | 50.262863 | success | 0.039183 | 0.000001 | under-trained | 960 | 0.001535 | 0.001205 |
182 | model.layers.26.mlp.down_proj | 0.055896 | 4,096 | 14,336 | 3.5 | 19.291067 | -45.162404 | 1.567739 | true | 0.004559 | dense | -45.122915 | -0.700354 | -2.341105 | 64 | 0.199364 | 4,096 | 62 | 4,032 | 1 | 2.322968 | 0.004559 | 43.727108 | success | 0.067522 | 0.000001 | under-trained | 4,032 | 0.004559 | 0.002947 |
183 | model.layers.26.mlp.gate_proj | 0.085826 | 4,096 | 14,336 | 3.5 | 6.934983 | -13.885229 | 1.561158 | true | 0.009949 | dense | -13.801381 | -0.631356 | -2.002201 | 64 | 0.233692 | 4,096 | 33 | 4,032 | 1 | 1.033148 | 0.009949 | 23.487938 | success | 0.099747 | 0.000001 | under-trained | 4,032 | 0.009949 | 0.003328 |
184 | model.layers.26.mlp.up_proj | 0.104035 | 4,096 | 14,336 | 3.5 | 6.006644 | -12.376087 | 1.562014 | true | 0.008702 | dense | -12.173414 | -0.654805 | -2.0604 | 64 | 0.221409 | 4,096 | 18 | 4,032 | 1 | 1.180077 | 0.008702 | 25.444557 | success | 0.093283 | 0.000001 | under-trained | 4,032 | 0.008702 | 0.003379 |
185 | model.layers.26.self_attn.k_proj | 0.056932 | 1,024 | 4,096 | 4 | 5.374071 | -14.446276 | 1.131228 | true | 0.00205 | dense | -13.682997 | -1.136951 | -2.688144 | 64 | 0.072954 | 1,024 | 50 | 960 | 1 | 0.618587 | 0.00205 | 35.578926 | success | 0.045282 | 0.000001 | 960 | 0.00205 | 0.00094 |
|
186 | model.layers.26.self_attn.o_proj | 0.088726 | 4,096 | 4,096 | 1 | 4.214271 | -9.801506 | 1.554751 | true | 0.004723 | dense | -9.488855 | -1.02519 | -2.325789 | 64 | 0.094365 | 4,096 | 17 | 4,032 | 1 | 0.779575 | 0.004723 | 19.980146 | success | 0.068724 | 0 | 4,032 | 0.004723 | 0.001383 |
|
187 | model.layers.26.self_attn.q_proj | 0.043501 | 4,096 | 4,096 | 1 | 6.091549 | -15.42408 | 1.562849 | true | 0.002937 | dense | -15.203184 | -1.081572 | -2.532046 | 64 | 0.082876 | 4,096 | 52 | 4,032 | 1 | 0.706071 | 0.002937 | 28.214588 | success | 0.054197 | 0 | under-trained | 4,032 | 0.002937 | 0.001088 |
188 | model.layers.26.self_attn.v_proj | 0.054334 | 1,024 | 4,096 | 4 | 13.788339 | -38.606445 | 1.136559 | true | 0.001585 | dense | -38.187704 | -1.129555 | -2.799934 | 64 | 0.074207 | 1,024 | 26 | 960 | 1 | 2.508 | 0.001585 | 46.814354 | success | 0.039814 | 0.000001 | under-trained | 960 | 0.001585 | 0.001162 |
189 | model.layers.27.mlp.down_proj | 0.06611 | 4,096 | 14,336 | 3.5 | 17.607994 | -41.717967 | 1.567614 | true | 0.004273 | dense | -41.524366 | -0.71679 | -2.369263 | 64 | 0.19196 | 4,096 | 64 | 4,032 | 1 | 2.075999 | 0.004273 | 44.92347 | success | 0.065369 | 0.000001 | under-trained | 4,032 | 0.004273 | 0.002816 |
190 | model.layers.27.mlp.gate_proj | 0.085341 | 4,096 | 14,336 | 3.5 | 7.507809 | -14.940597 | 1.560531 | true | 0.010233 | dense | -14.876542 | -0.630876 | -1.990008 | 64 | 0.23395 | 4,096 | 51 | 4,032 | 1 | 0.911276 | 0.010233 | 22.862886 | success | 0.101157 | 0.000001 | under-trained | 4,032 | 0.010233 | 0.003158 |
191 | model.layers.27.mlp.up_proj | 0.090429 | 4,096 | 14,336 | 3.5 | 6.337803 | -13.036704 | 1.561669 | true | 0.008771 | dense | -12.855776 | -0.657381 | -2.056975 | 64 | 0.220099 | 4,096 | 23 | 4,032 | 1 | 1.113009 | 0.008771 | 25.09539 | success | 0.093651 | 0.000001 | under-trained | 4,032 | 0.008771 | 0.003267 |
192 | model.layers.27.self_attn.k_proj | 0.062667 | 1,024 | 4,096 | 4 | 6.433864 | -17.394814 | 1.131266 | true | 0.001979 | dense | -16.810661 | -1.179399 | -2.703634 | 64 | 0.066161 | 1,024 | 64 | 960 | 1 | 0.679233 | 0.001979 | 33.43763 | success | 0.044482 | 0.000001 | under-trained | 960 | 0.001979 | 0.00084 |
193 | model.layers.27.self_attn.o_proj | 0.052241 | 4,096 | 4,096 | 1 | 7.273309 | -18.565491 | 1.5641 | true | 0.002802 | dense | -18.431408 | -1.090858 | -2.552551 | 64 | 0.081123 | 4,096 | 28 | 4,032 | 1 | 1.185544 | 0.002802 | 28.952957 | success | 0.052933 | 0 | under-trained | 4,032 | 0.002802 | 0.001198 |
194 | model.layers.27.self_attn.q_proj | 0.042504 | 4,096 | 4,096 | 1 | 5.579411 | -14.485803 | 1.562452 | true | 0.002533 | dense | -14.109143 | -1.120044 | -2.596296 | 64 | 0.07585 | 4,096 | 64 | 4,032 | 1 | 0.572426 | 0.002533 | 29.940044 | success | 0.050333 | 0 | 4,032 | 0.002533 | 0.000931 |
|
195 | model.layers.27.self_attn.v_proj | 0.047939 | 1,024 | 4,096 | 4 | 12.779446 | -35.765415 | 1.136394 | true | 0.00159 | dense | -35.399751 | -1.146404 | -2.798667 | 64 | 0.071383 | 1,024 | 29 | 960 | 1 | 2.187388 | 0.00159 | 44.901775 | success | 0.039872 | 0.000001 | under-trained | 960 | 0.00159 | 0.001103 |
196 | model.layers.28.mlp.down_proj | 0.04537 | 4,096 | 14,336 | 3.5 | 15.507892 | -36.617226 | 1.567459 | true | 0.004353 | dense | -36.349747 | -0.712012 | -2.361199 | 64 | 0.194083 | 4,096 | 64 | 4,032 | 1 | 1.813487 | 0.004353 | 44.584877 | success | 0.065978 | 0.000001 | under-trained | 4,032 | 0.004353 | 0.00282 |
197 | model.layers.28.mlp.gate_proj | 0.055398 | 4,096 | 14,336 | 3.5 | 7.201658 | -14.241886 | 1.559661 | true | 0.01053 | dense | -14.181808 | -0.636204 | -1.977584 | 64 | 0.231098 | 4,096 | 63 | 4,032 | 1 | 0.781335 | 0.01053 | 21.947275 | success | 0.102614 | 0.000001 | under-trained | 4,032 | 0.01053 | 0.002993 |
198 | model.layers.28.mlp.up_proj | 0.070715 | 4,096 | 14,336 | 3.5 | 6.613636 | -13.41884 | 1.561279 | true | 0.009355 | dense | -13.332549 | -0.659056 | -2.028966 | 64 | 0.219252 | 4,096 | 30 | 4,032 | 1 | 1.024905 | 0.009355 | 23.437424 | success | 0.09672 | 0.000001 | under-trained | 4,032 | 0.009355 | 0.003147 |
199 | model.layers.28.self_attn.k_proj | 0.037904 | 1,024 | 4,096 | 4 | 5.71132 | -15.440612 | 1.131899 | true | 0.001979 | dense | -14.690031 | -1.143304 | -2.70351 | 64 | 0.071895 | 1,024 | 63 | 960 | 1 | 0.593571 | 0.001979 | 36.325069 | success | 0.044488 | 0.000001 | 960 | 0.001979 | 0.000892 |