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alphas3

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train · 224 rows

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
200	model.layers.28.self_attn.o_proj	0.041197	4,096	4,096	1	11.01609	-28.828882	1.566721	true	0.002416	dense	-28.544096	-1.007876	-2.61698	64	0.098203	4,096	64	4,032	1	1.252011	0.002416	40.654037	success	0.049148	0	under-trained	4,032	0.002416	0.00138
201	model.layers.28.self_attn.q_proj	0.040291	4,096	4,096	1	6.343314	-15.971821	1.563312	true	0.003035	dense	-15.770653	-1.058412	-2.517899	64	0.087415	4,096	47	4,032	1	0.779402	0.003035	28.806244	success	0.055087	0	under-trained	4,032	0.003035	0.001181
202	model.layers.28.self_attn.v_proj	0.066078	1,024	4,096	4	16.502318	-45.673627	1.136797	true	0.001707	dense	-45.314251	-1.080851	-2.76771	64	0.083014	1,024	27	960	1	2.983423	0.001707	48.624928	success	0.041319	0.000001	under-trained	960	0.001707	0.001304
203	model.layers.29.mlp.down_proj	0.058877	4,096	14,336	3.5	10.575127	-24.526027	1.566756	true	0.004795	dense	-24.259765	-0.718782	-2.319218	64	0.191081	4,096	31	4,032	1	1.719744	0.004795	39.850769	success	0.069245	0.000001	under-trained	4,032	0.004795	0.00286
204	model.layers.29.mlp.gate_proj	0.064726	4,096	14,336	3.5	7.03554	-13.710543	1.558954	true	0.011252	dense	-13.680309	-0.640899	-1.948755	64	0.228613	4,096	64	4,032	1	0.754443	0.011252	20.316813	success	0.106077	0.000001	under-trained	4,032	0.011252	0.002935
205	model.layers.29.mlp.up_proj	0.071536	4,096	14,336	3.5	5.994073	-11.971793	1.560465	true	0.010063	dense	-11.896176	-0.659252	-1.997272	64	0.219153	4,096	21	4,032	1	1.089796	0.010063	21.778074	success	0.100315	0.000001		4,032	0.010063	0.003302
206	model.layers.29.self_attn.k_proj	0.027305	1,024	4,096	4	5.673421	-14.569579	1.130258	true	0.002704	dense	-14.257931	-1.125259	-2.568041	64	0.074945	1,024	64	960	1	0.584178	0.002704	27.719282	success	0.051997	0.000001		960	0.002704	0.00092
207	model.layers.29.self_attn.o_proj	0.078943	4,096	4,096	1	10.376519	-26.202336	1.565592	true	0.002984	dense	-25.921757	-0.965514	-2.525157	64	0.108265	4,096	64	4,032	1	1.172065	0.002984	36.277966	success	0.054629	0	under-trained	4,032	0.002984	0.001505
208	model.layers.29.self_attn.q_proj	0.042463	4,096	4,096	1	6.201798	-15.974763	1.563786	true	0.002656	dense	-15.666368	-1.083036	-2.575828	64	0.082597	4,096	64	4,032	1	0.650225	0.002656	31.1022	success	0.051533	0	under-trained	4,032	0.002656	0.001046
209	model.layers.29.self_attn.v_proj	0.044242	1,024	4,096	4	15.119148	-40.901417	1.136675	true	0.001971	dense	-40.713053	-1.051864	-2.705273	64	0.088743	1,024	31	960	1	2.535874	0.001971	45.020294	success	0.044398	0.000001	under-trained	960	0.001971	0.001369
210	model.layers.30.mlp.down_proj	0.055847	4,096	14,336	3.5	7.012627	-15.242136	1.564144	true	0.006706	dense	-15.056465	-0.694559	-2.173527	64	0.202042	4,096	33	4,032	1	1.046664	0.006706	30.127838	success	0.081891	0.000001	under-trained	4,032	0.006706	0.002908
211	model.layers.30.mlp.gate_proj	0.072323	4,096	14,336	3.5	6.243777	-11.749667	1.557202	true	0.013127	dense	-11.714567	-0.608049	-1.88182	64	0.246576	4,096	43	4,032	1	0.799669	0.013127	18.783279	success	0.114575	0.000001	under-trained	4,032	0.013127	0.0033
212	model.layers.30.mlp.up_proj	0.061377	4,096	14,336	3.5	4.781096	-9.162759	1.55794	true	0.012121	dense	-9.05048	-0.629157	-1.916456	64	0.234878	4,096	14	4,032	1	1.01054	0.012121	19.377544	success	0.110096	0.000001		4,032	0.012121	0.003747
213	model.layers.30.self_attn.k_proj	0.044896	1,024	4,096	4	5.673842	-14.993671	1.13231	true	0.002277	dense	-14.262159	-1.079453	-2.642596	64	0.083281	1,024	51	960	1	0.654469	0.002277	36.571552	success	0.04772	0.000001		960	0.002277	0.001083
214	model.layers.30.self_attn.o_proj	0.085833	4,096	4,096	1	4.185827	-9.4888	1.555713	true	0.005409	dense	-9.141102	-0.93027	-2.266888	64	0.117417	4,096	21	4,032	1	0.695204	0.005409	21.707933	success	0.073545	0		4,032	0.005409	0.001675
215	model.layers.30.self_attn.q_proj	0.030675	4,096	4,096	1	5.626068	-13.164741	1.560031	true	0.004571	dense	-13.014311	-0.965638	-2.339954	64	0.108233	4,096	43	4,032	1	0.705469	0.004571	23.676403	success	0.067612	0		4,032	0.004571	0.001446
216	model.layers.30.self_attn.v_proj	0.051708	1,024	4,096	4	15.165945	-41.261232	1.136643	true	0.001903	dense	-40.82963	-1.04063	-2.72065	64	0.091069	1,024	22	960	1	3.02019	0.001903	47.865246	success	0.043619	0.000001	under-trained	960	0.001903	0.00145
217	model.layers.31.mlp.down_proj	0.061909	4,096	14,336	3.5	3.910137	-7.230149	1.548955	true	0.014155	dense	-6.915653	-0.592589	-1.849078	64	0.255512	4,096	22	4,032	1	0.620443	0.014155	18.050489	success	0.118976	0.000001		4,032	0.014155	0.003618
218	model.layers.31.mlp.gate_proj	0.067566	4,096	14,336	3.5	4.579302	-8.127726	1.554599	true	0.016793	dense	-8.0711	-0.571228	-1.774883	64	0.268394	4,096	14	4,032	1	0.956609	0.016793	15.982895	success	0.129586	0.000001		4,032	0.016793	0.004214
219	model.layers.31.mlp.up_proj	0.062518	4,096	14,336	3.5	4.467994	-8.32529	1.558079	true	0.013699	dense	-8.182721	-0.578391	-1.863317	64	0.264003	4,096	13	4,032	1	0.961848	0.013699	19.271957	success	0.117042	0.000001		4,032	0.013699	0.004143
220	model.layers.31.self_attn.k_proj	0.048769	1,024	4,096	4	5.477654	-14.433448	1.131628	true	0.002318	dense	-13.74517	-1.093285	-2.634969	64	0.080671	1,024	55	960	1	0.603767	0.002318	34.808407	success	0.048141	0.000001		960	0.002318	0.001021
221	model.layers.31.self_attn.o_proj	0.120417	4,096	4,096	1	3.675778	-6.591092	1.522689	true	0.016102	dense	-6.582583	-0.916658	-1.793115	64	0.121155	4,096	12	4,032	1	0.772431	0.016102	7.52414	success	0.126894	0		4,032	0.016102	0.001798
222	model.layers.31.self_attn.q_proj	0.025553	4,096	4,096	1	5.538945	-12.81395	1.558859	true	0.004859	dense	-12.727901	-0.988689	-2.313428	64	0.102639	4,096	61	4,032	1	0.581152	0.004859	21.122208	success	0.069709	0		4,032	0.004859	0.001259
223	model.layers.31.self_attn.v_proj	0.065206	1,024	4,096	4	10.682958	-28.048469	1.135977	true	0.002368	dense	-27.835504	-1.03148	-2.625534	64	0.093008	1,024	56	960	1	1.29394	0.002368	39.269352	success	0.048667	0.000001	under-trained	960	0.002368	0.001322