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a-4

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train · 224 rows

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
200	model.layers.28.self_attn.o_proj	0.12892	4,096	4,096	1	2.506884	-1.574493	1.282959	true	0.235468	dense	-1.043243	0.256452	-0.628068	64	1.804895	4,096	15	4,032	1	0.389076	0.235468	7.665133	success	0.485251	0		4,032	0.235468	0.049937
201	model.layers.28.self_attn.q_proj	0.10346	4,096	4,096	1	2.084026	-0.415992	1.217541	true	0.631524	dense	-0.203901	0.365366	-0.19961	64	2.319349	4,096	14	4,032	1	0.289718	0.631524	3.672619	success	0.794685	0		4,032	0.631524	0.040083
202	model.layers.28.self_attn.v_proj	0.098368	1,024	4,096	4	2.408356	-2.497918	0.925736	true	0.091793	dense	-2.172091	-0.253651	-1.037188	64	0.557634	1,024	12	960	1	0.406557	0.091793	6.07487	success	0.302974	0.000002		960	0.091793	0.013395
203	model.layers.29.mlp.down_proj	0.151493	4,096	14,336	3.5	2.732232	-0.073151	1.233216	true	0.940214	dense	0.033981	0.584996	-0.026773	64	3.845881	4,096	11	4,032	1	0.522288	0.940214	4.090432	success	0.969646	0.000002		4,032	0.940214	0.136228
204	model.layers.29.mlp.gate_proj	0.091953	4,096	14,336	3.5	2.285684	1.186843	1.156374	true	3.305602	dense	1.286456	0.994632	0.519251	64	9.877154	4,096	11	4,032	1	0.387648	3.305602	2.988004	success	1.818132	0.000003		4,032	3.305602	0.258566
205	model.layers.29.mlp.up_proj	0.10023	4,096	14,336	3.5	2.895639	0.583532	1.223461	true	1.590453	dense	0.776132	0.883571	0.201521	64	7.648403	4,096	11	4,032	1	0.571557	1.590453	4.808946	success	1.261132	0.000003		4,032	1.590453	0.290632
206	model.layers.29.self_attn.k_proj	0.107998	1,024	4,096	4	2.726053	-2.266054	0.859123	true	0.147483	dense	-2.151937	-0.215133	-0.831258	64	0.60935	1,024	8	960	1	0.610252	0.147483	4.131664	success	0.384035	0.000001		960	0.147483	0.024483
207	model.layers.29.self_attn.o_proj	0.169268	4,096	4,096	1	2.36546	-1.35828	1.28528	true	0.266555	dense	-0.8389	0.298011	-0.574214	64	1.986146	4,096	15	4,032	1	0.35256	0.266555	7.451181	success	0.516289	0		4,032	0.266555	0.051064
208	model.layers.29.self_attn.q_proj	0.091264	4,096	4,096	1	2.397726	-0.313631	1.193404	true	0.73994	dense	-0.249444	0.329836	-0.130804	64	2.137153	4,096	11	4,032	1	0.42143	0.73994	2.888279	success	0.860198	0		4,032	0.73994	0.053607
209	model.layers.29.self_attn.v_proj	0.104425	1,024	4,096	4	2.038766	-1.974938	0.931877	true	0.107475	dense	-1.643125	-0.209484	-0.968693	64	0.617327	1,024	18	960	1	0.24484	0.107475	5.743917	success	0.327834	0.000001		960	0.107475	0.007843
210	model.layers.30.mlp.down_proj	0.139067	4,096	14,336	3.5	3.757066	-0.495963	1.232036	true	0.737891	dense	-0.456677	0.465583	-0.132008	64	2.921347	4,096	6	4,032	1	1.125567	0.737891	3.959052	success	0.859006	0.000002		4,032	0.737891	0.200678
211	model.layers.30.mlp.gate_proj	0.080347	4,096	14,336	3.5	2.234833	1.192784	1.152827	true	3.417622	dense	1.276334	0.984485	0.533724	64	9.64905	4,096	12	4,032	1	0.356466	3.417622	2.823323	success	1.848681	0.000003		4,032	3.417622	0.222564
212	model.layers.30.mlp.up_proj	0.095443	4,096	14,336	3.5	3.04933	0.381684	1.234904	true	1.334043	dense	0.593896	0.848949	0.12517	64	7.062346	4,096	12	4,032	1	0.591591	1.334043	5.293941	success	1.155008	0.000003		4,032	1.334043	0.272604
213	model.layers.30.self_attn.k_proj	0.111791	1,024	4,096	4	2.061986	-1.966156	0.872462	true	0.111295	dense	-1.553825	-0.20159	-0.953525	64	0.628651	1,024	14	960	1	0.283828	0.111295	5.648523	success	0.333609	0.000002		960	0.111295	0.010853
214	model.layers.30.self_attn.o_proj	0.084798	4,096	4,096	1	2.468398	-0.885358	1.254506	true	0.437848	dense	-0.718474	0.277156	-0.358677	64	1.893023	4,096	15	4,032	1	0.379139	0.437848	4.323475	success	0.661701	0		4,032	0.437848	0.045794
215	model.layers.30.self_attn.q_proj	0.104324	4,096	4,096	1	1.75768	-0.081979	1.157555	true	0.898172	dense	0.134129	0.435456	-0.046641	64	2.725559	4,096	17	4,032	1	0.183764	0.898172	3.034564	success	0.947719	0	over-trained	4,032	0.898172	0.020552
216	model.layers.30.self_attn.v_proj	0.135548	1,024	4,096	4	2.484779	-2.799054	0.964251	true	0.074734	dense	-2.387833	-0.227976	-1.12648	64	0.591594	1,024	13	960	1	0.411804	0.074734	7.915963	success	0.273376	0.000002		960	0.074734	0.014467
217	model.layers.31.mlp.down_proj	0.139677	4,096	14,336	3.5	2.55047	-1.501365	1.300707	true	0.257833	dense	-1.241886	0.162989	-0.588662	64	1.455421	4,096	12	4,032	1	0.447582	0.257833	5.644826	success	0.507772	0.000002		4,032	0.257833	0.044917
218	model.layers.31.mlp.gate_proj	0.136508	4,096	14,336	3.5	2.399457	0.334437	1.241044	true	1.378416	dense	0.634721	0.867715	0.13938	64	7.374207	4,096	15	4,032	1	0.361338	1.378416	5.349769	success	1.17406	0.000003		4,032	1.378416	0.192013
219	model.layers.31.mlp.up_proj	0.091542	4,096	14,336	3.5	3.785782	-0.541433	1.273104	true	0.71942	dense	-0.298355	0.721229	-0.143018	64	5.262949	4,096	12	4,032	1	0.804186	0.71942	7.315546	success	0.848186	0.000003		4,032	0.71942	0.234325
220	model.layers.31.self_attn.k_proj	0.077276	1,024	4,096	4	2.117042	-1.532688	0.828348	true	0.18881	dense	-1.427048	-0.219158	-0.723976	64	0.603729	1,024	13	960	1	0.309812	0.18881	3.197556	success	0.434522	0.000001		960	0.18881	0.009959
221	model.layers.31.self_attn.o_proj	0.111155	4,096	4,096	1	2.824456	-1.847414	1.303495	true	0.22178	dense	-1.432091	0.220873	-0.654078	64	1.662927	4,096	15	4,032	1	0.471073	0.22178	7.498093	success	0.470935	0		4,032	0.22178	0.051514
222	model.layers.31.self_attn.q_proj	0.091619	4,096	4,096	1	1.825198	0.041611	1.135999	true	1.053897	dense	0.179001	0.439197	0.022798	64	2.749143	4,096	18	4,032	1	0.194501	1.053897	2.608551	success	1.026595	0	over-trained	4,032	1.053897	0.020424
223	model.layers.31.self_attn.v_proj	0.074064	1,024	4,096	4	2.284005	-2.16286	0.935486	true	0.11299	dense	-1.909721	-0.216392	-0.946959	64	0.607586	1,024	16	960	1	0.321001	0.11299	5.377332	success	0.33614	0.000002		960	0.11299	0.009934