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pythia-12b-neuron-dataset-examples

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train · 47.2M rows

neuron uint16 0 20.5k	rank uint8 0 63	activation float32 -0 61.8	position uint8 0 15	text stringlengths 1 1.74k	id0 uint16 0 50.3k	id1 uint16 0 50.3k	id2 uint16 0 50.3k	id3 uint16 0 50.3k	id4 uint16 0 50.3k	id5 uint16 0 50.3k	id6 uint16 0 50.3k	id7 uint16 0 50.3k	id8 uint16 0 50.3k	id9 uint16 0 50.3k	id10 uint16 0 50.3k	id11 uint16 0 50.3k	id12 uint16 0 50.3k	id13 uint16 0 50.3k	id14 uint16 0 50.3k	id15 uint16 0 50.3k
14	4	1.999023	5	one and twenty, Penelope	581	285	6,818	13	7,009	46,749	434	5,508	2,971	3,639	3,133	327	71	4,504	28	703
14	5	1.999023	9	to the Duke appears in the papers, Penelope	281	253	14,913	4,620	275	253	9,380	13	7,009	46,749	6,057	703	1,364	1,379	617	1,659
14	6	1.999023	0	elope	46,749	49,234	13	533	703	3,589	626	253	581	665	9,577	253	519	15	733	3,589
14	7	1.999023	9	brother's jealous fiancée. Penelope	4,929	434	23,327	269	757	68	7,678	15	7,009	46,749	16,382	342	253	46,709	4,680	344
14	8	1.999023	1	Penelope	26,008	46,749	13	247	2,264	2,846	3,226	285	642	12,389	88	262	5,972	13	4,566	323
14	9	1.999023	7	Bray set things up. Penelope	378	1,402	873	1,841	598	15	7,009	46,749	285	24,336	2,686	2,312	281	1,016	643	285
14	10	1.999023	13	They are both quite interesting characters, too. City-girl Penelope	3,726	403	1,097	3,240	4,722	5,810	13	1,512	15	3,228	14	23,660	7,009	46,749	556	3,240
14	11	1.999023	0	elope	46,749	556	247	2,372	273	247	9,479	14,018	15	1,500	2,506	626	31,259	667	516	8,292
14	12	1.999023	10	Near the end, a subplot develops about Penelope	27,922	253	990	13	247	749	14,095	24,357	670	7,009	46,749	434	3,438	402	2,081	43,482
14	13	1.999023	12	how it was solved, with complete honesty between Marcus and Penelope	849	352	369	14,042	13	342	3,426	33,773	875	24,336	285	7,009	46,749	15	187	187
14	14	1.999023	14	Something else I wasn't completely convinced by was about how Marcus and Penelope	19,234	2,010	309	3,589	626	4,336	13,762	407	369	670	849	24,336	285	7,009	46,749	403
14	15	1.999023	2	, Penelope	13	7,009	46,749	310	3,559	347	18,248	1,495	275	253	2,846	15	1,284	309	753	13
14	16	1.999023	0	elope	46,749	32	309	1,353	7,378	281	5,467	326	24,336	588	6,947	690	673	342	617	275
14	17	1.999023	10	be willing to spend some time there so that Penelope	320	7,378	281	6,947	690	673	627	594	326	7,009	46,749	588	452	752	703	594
14	18	1.999023	12	(Wednesday, 29) in which the coroner, Penelope	313	28,781	13	3,285	10	275	534	253	9,987	254	13	7,009	46,749	3,697	1,171	1,001
14	19	1.999023	1	Penelope	7,009	46,749	285	617	33,361	369	2,169	672	187	9,328	497	14,270	432	27,165	395	9,741
14	20	1.999023	14	Adelaide, SA Adorn Jewels By Penelope	187	187	3,837	37,485	13	12,041	187	187	3,837	1,575	5,679	1,241	2,896	7,009	46,749	29,515
14	21	1.999023	6	also home to Sable Antelope	671	1,728	281	322	494	9,422	46,749	13	5,219	285	5,418	11,537	2,610	347	973	347
14	22	1.999023	4	daughters." "Penelope	19,367	449	346	26,008	46,749	5,136	346	8,430	619	3,101	2,686	3,047	368	387	20,718	449
14	23	1.999023	9	She appeared nattily dressed, wearing antelope	1,500	5,420	295	1,595	1,031	14,186	13	9,398	1,331	46,749	14	36,861	12,682	285	247	9,711
14	24	1.999023	1	antelope	1,331	46,749	15	187	187	3	1,147	434	1,024	390	1,620	13	32,577	937	344	753
14	25	1.999023	0	elope	46,749	6,308	1,076	247	18,234	4,396	314	8,800	15	187	187	3	1,394	3,078	281	2,312
14	26	1.999023	7	Herbal Remedies By Penelope	4,058	7,187	6,235	264	447	2,896	7,009	46,749	473	6,421	34,723	4,162	6,752	3,105	2,130	1,040
14	27	1.999023	15	Joint Pains A Guide To Successful Herbal Remedies By Penelope	23,106	367	1,550	329	16,398	1,916	22,764	1,020	4,058	7,187	6,235	264	447	2,896	7,009	46,749
14	28	1.999023	12	A Guide To Successful Herbal Remedies By Penelope	329	16,398	1,916	22,764	1,020	4,058	7,187	6,235	264	447	2,896	7,009	46,749	473	6,421	34,723
14	29	1.999023	4	edies By Penelope	264	447	2,896	7,009	46,749	473	6,421	34,723	4,162	6,752	310	5,474	1,873	187	187	14,458
14	30	1.999023	1	Penelope	7,009	46,749	19,997	19,683	13	310	247	7,785	757	9,558	16	16,360	15	733	457	84
14	31	1.999023	12	fiery, independent babes such as Kate Upton, Penelope	43,620	13	3,907	5,366	265	824	347	20,428	530	11,933	13	7,009	46,749	16,874	285	418
14	32	1.999023	6	80 between Riverside and Antelope	1,438	875	28,160	504	285	9,422	46,749	13,939	15	1,500	369	9,833	323	323	612	6,748
14	33	1.999023	1	Penelope	7,009	46,749	41,926	313	33,731	936	708	17,054	316	10	310	23,501	382	917	15	733
14	34	1.999023	9	, deer, bear, wild hog or antelope	13	24,563	13	8,800	13	4,956	47,891	390	1,331	46,749	28	1,016	3,417	556	697	1,027
14	35	1.999023	10	, elk, bear, pork, or antelope	13	1,045	76	13	8,800	13	23,914	13	390	1,331	46,749	15	187	187	1,909	247
14	36	1.999023	5	Best Hunting Times for Antelope	17,277	36,044	7,717	323	9,422	46,749	187	187	510	2,604	543	27,721	9,422	46,749	310	581
14	37	1.999023	13	Best Hunting Times for Antelope The Pronghorn Antelope	17,277	36,044	7,717	323	9,422	46,749	187	187	510	2,604	543	27,721	9,422	46,749	310	581
14	38	1.999023	8	of the year. The antelope	273	253	807	15	187	187	510	1,331	46,749	4,566	715	40,422	670	4,260	14	21,859
14	39	1.999023	9	areas on their search for does and the antelope	3,672	327	616	3,186	323	1,057	285	253	1,331	46,749	6,947	512	1,388	3,515	1,475	2,819
14	40	1.999023	4	day during most antelope	1,388	1,309	954	1,331	46,749	12,396	556	1,620	5,486	1,199	323	441	347	1,048	347	368
14	41	1.999023	6	a house with the artist Penelope	247	2,419	342	253	9,558	7,009	46,749	500	472	460	15	187	187	6,104	782	3,534
14	42	1.999023	0	elope	46,749	15	380	3,963	42,229	1,978	253	5,603	4,759	807	3,790	285	253	9,208	4,484	13
14	43	1.999023	3	ifs by Penelope	27,530	407	7,009	46,749	20,189	14	998	466	8,382	187	187	22	10	12,090	625	2,802
14	44	1.999023	1	Penelope	26,008	46,749	16,874	13	26,789	55	3,525	15,162	16,405	13	5,863	275	253	6,037	46	13,046
14	45	1.999023	13	thacan blacksmith whose wife was introduced to him as Penelope	394	317	266	2,806	37,915	3,692	4,475	369	5,611	281	779	347	7,009	46,749	13	521
14	46	1.999023	1	Penelope	7,009	46,749	434	4,176	641	13	253	2,614	8,158	275	253	1,270	7,423	13	497	39,433
14	47	1.999023	14	A wearable sculpture inspired by antlers found in the deer and antelope	329	8,251	494	34,486	11,797	407	1,331	10,787	1,119	275	253	24,563	285	1,331	46,749	2,021
14	48	1.999023	11	on educational outcomes must be extremely difficult. Penelope	327	11,331	6,973	1,364	320	6,685	2,834	15	187	187	26,008	46,749	9,521	326	309	1,501
14	49	1.999023	8	such as elephant and a variety of antelope	824	347	31,865	285	247	5,235	273	1,331	46,749	3,417	7,098	2,721	327	253	8,281	49,069
14	50	1.999023	8	, hippo and a multitude of antelope	13	15,241	80	285	247	30,408	273	1,331	46,749	3,417	15	380	12,621	8,206	1,060	310
14	51	1.999023	0	elope	46,749	10,947	275	5,002	13	835	2,963	377	447	30,601	275	824	19,999	18,735	670	436
14	52	1.999023	2	and Penelope	285	7,009	46,749	16,874	15	10,540	326	32,577	43,230	1,912	15	15,541	703	476	3,785	745
14	53	1.999023	13	}, { "city": "Antelope	187	50,274	2,023	187	50,274	92	187	50,272	3	21,280	1,381	346	24,657	46,749	995	187
14	54	1.999023	2	named Penelope	4,907	7,009	46,749	13	3,692	47,960	46,983	5,257	281	1,071	253	7,787	273	6,612	4,632	1,869
14	55	1.999023	7	images of Monument Valley, Antelope	3,888	273	4,200	1,303	10,947	13	9,422	46,749	33,843	13	285	388	11,092	32,810	38,020	497
14	56	1.999023	7	-Utah border and then Antelope	14	54	15,559	5,680	285	840	9,422	46,749	33,843	285	388	11,092	32,810	38,020	3,345	273
14	57	1.999023	12	sucking in their guts to squeeze through the incredible slots of Antelope	42,296	275	616	43,370	281	29,684	949	253	14,331	25,195	273	9,422	46,749	33,843	13	285
14	58	1.999023	5	ed psychologist Dr. Penelope	264	35,085	3,196	15	7,009	46,749	657	1,000	414	275	253	1,273	2,952	273	9,462	14
14	59	1.999023	2	on Antelope	327	9,422	46,749	8,451	327	7,814	13	15,602	281	1,611	281	755	253	22,878	434	4,116
14	60	1.999023	12	– Tina Fey gave birth to her second daughter, Penelope	1,108	45,655	401	2,653	3,534	4,201	281	617	1,273	6,122	13	7,009	46,749	13	275	4,332
14	61	1.999023	8	to get her properly married, Miss Penelope	281	755	617	6,283	7,028	13	5,767	7,009	46,749	416	505	78	1,887	21,936	752	703
14	62	1.999023	1	Penelope	7,009	46,749	16,874	13	500	28,024	44,523	358	13	31,086	10,351	11,436	13	14,861	2,070	1,947
14	63	1.999023	0	elope	46,749	16,874	313	55	30,043	13	47,831	13	24,639	1,933	47,085	45,450	1,059	313	510	33,123
15	0	2.414063	1	umberbatch	2,764	23,941	13	6,911	1,500	36,687	285	22,707	32,766	3,592	13	4,744	443	255	739	285
15	1	2.414063	7	pid: pid}} -> batch	4,239	27	33,786	599	5,204	187	50,268	23,941	7,506	876	27,660	30,738	1,163	23,941	64	788
15	2	2.414063	13	pid: pid}} -> batch({__MODULE__, :batch	4,239	27	33,786	599	5,204	187	50,268	23,941	7,506	876	27,660	30,738	1,163	23,941	64	788
15	3	2.414063	13	only happen once. send(test_pid, :batch	760	5,108	2,378	15	187	50,272	13,161	9	2,566	64	4,239	13	1,163	23,941	64	788
15	4	2.414063	11	once due to batching assert_receive(:batch	2,378	1,955	281	14,604	272	187	50,274	8,271	64	44,105	20,805	23,941	64	788	64	4,399
15	5	2.414063	8	) refute_receive(:batch	10	187	50,274	709	1,137	64	44,105	20,805	23,941	64	788	64	4,399	10	187	50,276
15	6	2.414063	1	(:batch	20,805	23,941	64	788	64	4,399	10	187	50,274	8,271	64	44,105	20,805	23,941	64	788
15	7	2.414063	13	(:batch_get_group) assert_receive(:batch	20,805	23,941	64	788	64	4,399	10	187	50,274	8,271	64	44,105	20,805	23,941	64	788
15	8	2.414063	3	constructor like `batch	16,757	751	2,634	23,941	3,843	247	348	15	4,257	34,561	4,785	37	9	23,941	12,618	10
15	9	2.414063	13	constructor like `batch := ach.NewBatchPPD(batch	16,757	751	2,634	23,941	3,843	247	348	15	4,257	34,561	4,785	37	9	23,941	12,618	10
15	10	2.414063	7	` and adding the batch with `batch	65	285	6,240	253	14,604	342	2,634	23,941	15	4,717	14,085	9	8,873	10	16,433	187
15	11	2.414063	7	1. Call and verify `batch	50,275	18	15	9,368	285	12,654	2,634	23,941	15	9,395	42,702	6,548	642	2,228	15	187
15	12	2.414063	8	(via `file.AddBatch(batch	313	13,917	2,634	3,140	15	4,717	34,561	9	23,941	10	65	481	187	50,275	18	15
15	13	2.414063	8	* // using foreach * $batch	187	475	1,380	970	21,495	187	475	370	23,941	426	747	3,599	1,266	34,561	2,073	293
15	14	2.414063	12	gg_get_entities', array()); * $batch	1,266	64	788	64	290	1,005	1,383	3,781	6,020	187	475	370	23,941	1,168	1,178	25,800
15	15	2.414063	11	mentOffset(false); * * foreach ($batch	420	13,736	9	7,750	558	187	475	187	475	21,495	4,816	23,941	347	370	21,294	10
15	16	2.414063	7	* } * * $batch	475	748	187	475	187	475	370	23,941	426	747	3,599	1,266	34,561	2,073	293	1,266
15	17	2.414063	15	if ($callback && is_callable($callback)) { $batch	338	4,816	20,104	3,857	310	64	4,065	494	3,914	20,104	1,228	551	988	186	5	23,941
15	18	2.414063	5	; foreach ($batch	28	11,866	186	26,966	4,816	23,941	347	370	6,870	10	551	2,657	186	338	313	261
15	19	2.414063	8	com.normation.rudder.batch	389	15	12,850	318	15	42,111	491	15	23,941	15	92	19,168	3,848	27,378	49,925	13
15	20	2.414063	2	batch	187	50,276	23,941	64	3,281	27	6,705	187	50,276	8,412	64	2,562	27	2,233	187	50,276
15	21	2.414063	6	test: batch	187	2,566	27	50,276	187	50,276	23,941	64	3,281	27	6,705	187	50,276	6,370	64	26,719
15	22	2.414063	15	.mailchimp.com/documentation/mailchimp/reference/batch	15	5,719	348	11,548	15	681	16	37,442	16	5,719	348	11,548	16	14,005	16	23,941
15	23	2.414063	0	batch	23,941	14	7,585	19,198	84	8	187	50,270	1,286	15	23,941	64	7,585	19,198	64	301
15	24	2.414063	10	batch-webhooks' self.batch	23,941	14	7,585	19,198	84	8	187	50,270	1,286	15	23,941	64	7,585	19,198	64	301
15	25	2.414063	9	response is not None: self.batch	2,380	310	417	8,256	27	187	50,266	1,286	15	23,941	64	7,585	19,198	64	301	426
15	26	2.414063	12	response['id'] else: self.batch	2,380	5,013	301	6,038	187	50,270	7,271	27	187	50,266	1,286	15	23,941	64	7,585	19,198
15	27	2.414063	15	queryparams['offset'] = integer """ self.batch	50,270	7,267	12,928	5,013	10,946	6,038	426	7,007	187	50,270	32,488	187	50,270	1,286	15	23,941
15	28	2.414063	8	[] """ self.batch	8,168	187	50,270	32,488	187	50,270	1,286	15	23,941	64	7,585	19,198	64	301	426	14,604
15	29	2.414063	8	url=self._build_path(batch	6,434	30	1,286	3,333	7,973	64	3,967	9	23,941	64	7,585	19,198	64	301	582	1,401
15	30	2.414063	11	* } """ self.batch	11	187	50,270	94	187	50,270	32,488	187	50,270	1,286	15	23,941	64	7,585	19,198	64
15	31	2.414063	5	._build_path(batch	3,333	7,973	64	3,967	9	23,941	64	7,585	19,198	64	301	582	941	30	2,203	10
15	32	2.414063	5	""" self.batch	32,488	187	50,270	1,286	15	23,941	64	7,585	19,198	64	301	426	14,604	64	7,585	19,198
15	33	2.414063	5	._build_path(batch	3,333	7,973	64	3,967	9	23,941	64	7,585	19,198	64	301	1,228	187	0	0	187
15	34	2.414063	7	state is recreated every micro-batch	1,375	310	18,813	456	1,046	2,494	14	23,941	15	535	0	0	6,930	187	475	559
15	35	2.414063	13	ableIndex; import org.neo4j.unsafe.batch	494	6,060	28	187	2,948	4,955	15	40,612	21	75	15	18,939	15	23,941	14,447	15
15	36	2.414063	15	BatchInserter; import org.neo4j.unsafe.batch	34,561	688	2,152	350	28	187	2,948	4,955	15	40,612	21	75	15	18,939	15	23,941
15	37	2.414063	12	b = batchGraph.createNode("b"); batch	270	426	14,604	15,499	15	6,953	6,910	1,587	67	3,287	187	50,274	23,941	15,499	15	6,953
15	38	2.414063	11	Relationship(a, b, TYPE); batch	39,466	1,456	9	66	13	270	13	39,024	558	187	50,274	23,941	15,499	15	43,780	3,487
15	39	2.414063	3	(); batch	1,874	187	50,274	23,941	15,499	426	755	34,561	15,499	1,874	187	50,274	66	426	14,604	15,499

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