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a-5

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train · 224 rows

layer_id int64 0 223	name stringlengths 26 32	D float64 0.03 0.21	M int64 1.02k 4.1k	N int64 4.1k 14.3k	Q float64 1 4	alpha float64 2.55 30.7	alpha_weighted float64 -100.7 -4.79	entropy float64 1.07 1.57	has_esd bool 1 class	lambda_max float32 0 0.01	layer_type stringclasses 1 value	log_alpha_norm float64 -100.63 -4.73	log_norm float32 -1.66 -0.94	log_spectral_norm float32 -3.31 -1.88	matrix_rank int64 64 64	norm float32 0.02 0.11	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 0.35 9.03	spectral_norm float32 0 0.01	stable_rank float32 4.91 54.6	status stringclasses 1 value	sv_max float64 0.02 0.11	sv_min float64 0 0	warning stringclasses 2 values	weak_rank_loss int64 960 4.03k	xmax float64 0 0.01	xmin float64 0 0
200	model.layers.28.self_attn.o_proj	0.097567	4,096	4,096	1	13.455432	-37.866849	1.56443	true	0.001534	dense	-37.866766	-1.429151	-2.814243	64	0.037226	4,096	64	4,032	1	1.556929	0.001534	24.271242	success	0.039163	0	under-trained	4,032	0.001534	0.00053
201	model.layers.28.self_attn.q_proj	0.067804	4,096	4,096	1	8.690762	-24.135214	1.561632	true	0.001671	dense	-24.132781	-1.462055	-2.777111	64	0.03451	4,096	64	4,032	1	0.961345	0.001671	20.656462	success	0.040874	0	under-trained	4,032	0.001671	0.000464
202	model.layers.28.self_attn.v_proj	0.076671	1,024	4,096	4	21.357595	-69.448551	1.136971	true	0.00056	dense	-69.02072	-1.538136	-3.251703	64	0.028964	1,024	20	960	1	4.552097	0.00056	51.709057	success	0.023667	0.000001	under-trained	960	0.00056	0.000467
203	model.layers.29.mlp.down_proj	0.174697	4,096	14,336	3.5	3.982349	-9.512021	1.560833	true	0.004087	dense	-9.366647	-1.121441	-2.388545	64	0.075607	4,096	5	4,032	1	1.333747	0.004087	18.497126	success	0.063933	0.000001		4,032	0.004087	0.001206
204	model.layers.29.mlp.gate_proj	0.110376	4,096	14,336	3.5	4.602726	-10.848719	1.560916	true	0.004395	dense	-10.739705	-1.061237	-2.35702	64	0.086849	4,096	8	4,032	1	1.273756	0.004395	19.759821	success	0.066296	0.000001		4,032	0.004395	0.001395
205	model.layers.29.mlp.up_proj	0.117209	4,096	14,336	3.5	4.878604	-11.948773	1.561445	true	0.003555	dense	-11.741224	-1.090014	-2.449219	64	0.081281	4,096	12	4,032	1	1.119657	0.003555	22.866827	success	0.05962	0.000001		4,032	0.003555	0.001235
206	model.layers.29.self_attn.k_proj	0.077428	1,024	4,096	4	6.71173	-19.3982	1.127362	true	0.001288	dense	-19.169781	-1.536191	-2.890194	64	0.029094	1,024	64	960	1	0.713966	0.001288	22.594532	success	0.035884	0.000001	under-trained	960	0.001288	0.000369
207	model.layers.29.self_attn.o_proj	0.0927	4,096	4,096	1	11.705402	-31.38998	1.561996	true	0.002081	dense	-31.389846	-1.37154	-2.681666	64	0.042507	4,096	64	4,032	1	1.338175	0.002081	20.423292	success	0.045621	0	under-trained	4,032	0.002081	0.000593
208	model.layers.29.self_attn.q_proj	0.06169	4,096	4,096	1	7.948959	-21.362541	1.557784	true	0.002054	dense	-21.361654	-1.463992	-2.687464	64	0.034356	4,096	64	4,032	1	0.86862	0.002054	16.729059	success	0.045318	0	under-trained	4,032	0.002054	0.000451
209	model.layers.29.self_attn.v_proj	0.058828	1,024	4,096	4	24.171611	-77.009869	1.136972	true	0.000652	dense	-76.959004	-1.505554	-3.185963	64	0.031221	1,024	17	960	1	5.619941	0.000652	47.908161	success	0.025528	0.000001	under-trained	960	0.000652	0.000508
210	model.layers.30.mlp.down_proj	0.132176	4,096	14,336	3.5	3.446907	-8.061023	1.557716	true	0.004585	dense	-7.880584	-1.125973	-2.338625	64	0.074822	4,096	6	4,032	1	0.998946	0.004585	16.317465	success	0.067715	0.000001		4,032	0.004585	0.001158
211	model.layers.30.mlp.gate_proj	0.108602	4,096	14,336	3.5	5.523198	-12.654264	1.559638	true	0.005116	dense	-12.633893	-1.042727	-2.291112	64	0.09063	4,096	12	4,032	1	1.305735	0.005116	17.716766	success	0.071523	0.000001		4,032	0.005116	0.001391
212	model.layers.30.mlp.up_proj	0.136689	4,096	14,336	3.5	4.606794	-10.939204	1.5597	true	0.004221	dense	-10.797425	-1.076881	-2.374581	64	0.083776	4,096	10	4,032	1	1.140568	0.004221	19.847208	success	0.06497	0.000001		4,032	0.004221	0.001308
213	model.layers.30.self_attn.k_proj	0.06174	1,024	4,096	4	7.277368	-20.806148	1.128495	true	0.001383	dense	-20.728674	-1.524596	-2.859021	64	0.029882	1,024	64	960	1	0.784671	0.001383	21.598597	success	0.037195	0.000001	under-trained	960	0.001383	0.000387
214	model.layers.30.self_attn.o_proj	0.127274	4,096	4,096	1	4.013937	-10.695391	1.559696	true	0.002165	dense	-10.531604	-1.390642	-2.664564	64	0.040678	4,096	8	4,032	1	1.065588	0.002165	18.789783	success	0.046528	0		4,032	0.002165	0.000634
215	model.layers.30.self_attn.q_proj	0.078681	4,096	4,096	1	7.80563	-20.244153	1.555531	true	0.00255	dense	-20.243469	-1.409045	-2.593532	64	0.03899	4,096	64	4,032	1	0.850704	0.00255	15.29279	success	0.050493	0	under-trained	4,032	0.00255	0.000507
216	model.layers.30.self_attn.v_proj	0.088427	1,024	4,096	4	22.691435	-73.210394	1.137023	true	0.000594	dense	-72.865368	-1.51168	-3.226345	64	0.030784	1,024	19	960	1	4.976356	0.000594	51.839954	success	0.024368	0.000001	under-trained	960	0.000594	0.000497
217	model.layers.31.mlp.down_proj	0.211114	4,096	14,336	3.5	3.167784	-7.184908	1.544066	true	0.005394	dense	-6.866488	-1.098212	-2.268118	64	0.079761	4,096	10	4,032	1	0.685513	0.005394	14.787909	success	0.073441	0.000001		4,032	0.005394	0.001204
218	model.layers.31.mlp.gate_proj	0.09052	4,096	14,336	3.5	4.625173	-10.50815	1.559803	true	0.005346	dense	-10.436979	-1.012104	-2.271947	64	0.097252	4,096	10	4,032	1	1.146381	0.005346	18.190453	success	0.073118	0.000001		4,032	0.005346	0.001479
219	model.layers.31.mlp.up_proj	0.129257	4,096	14,336	3.5	5.00781	-11.894489	1.561102	true	0.004215	dense	-11.763711	-1.047329	-2.375188	64	0.089675	4,096	11	4,032	1	1.2084	0.004215	21.274475	success	0.064924	0.000001		4,032	0.004215	0.001375
220	model.layers.31.self_attn.k_proj	0.036201	1,024	4,096	4	7.879704	-23.809126	1.133314	true	0.000952	dense	-23.701685	-1.557212	-3.021576	64	0.02772	1,024	52	960	1	0.954043	0.000952	29.131598	success	0.030847	0.000001	under-trained	960	0.000952	0.000381
221	model.layers.31.self_attn.o_proj	0.144043	4,096	4,096	1	11.16667	-28.305311	1.555512	true	0.002919	dense	-28.305302	-1.367495	-2.534803	64	0.042905	4,096	64	4,032	1	1.270834	0.002919	14.699698	success	0.054025	0	under-trained	4,032	0.002919	0.000587
222	model.layers.31.self_attn.q_proj	0.077791	4,096	4,096	1	8.190492	-22.01782	1.559381	true	0.00205	dense	-22.015165	-1.4183	-2.688217	64	0.038168	4,096	64	4,032	1	0.898811	0.00205	18.617321	success	0.045278	0	under-trained	4,032	0.00205	0.000505
223	model.layers.31.self_attn.v_proj	0.074278	1,024	4,096	4	15.33425	-48.471702	1.136779	true	0.00069	dense	-48.338322	-1.51178	-3.161009	64	0.030777	1,024	39	960	1	2.295317	0.00069	44.589176	success	0.026272	0.000001	under-trained	960	0.00069	0.000466

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