Datasets:
Confirm-Labs
/
pythia-12b-neuron-dataset-examples

Dataset card Data Studio Files Community
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35
60
2.779297
8
Britain invaded Iran in August 1941, the Russians
9,643
35,909
7,751
275
4,223
22,715
13
253
24,794
432
253
6,146
13
253
4,782
432
0
35
61
2.779297
15
wave of change across the Soviet bloc. But what the Czechs welcomed the Russians
5,149
273
1,818
2,439
253
12,194
41,129
15
1,292
752
253
21,647
84
25,213
253
24,794
0
35
62
2.779297
7
and even bought light arms from the Russians
285
1,014
8,686
1,708
6,174
432
253
24,794
15
2,091
253
4,782
6,138
616
3,061
281
0
35
63
2.779297
4
had bled the Russians
574
787
264
253
24,794
275
16,111
285
840
4,516
285
354
1,882
598
253
32,625
0
36
0
3.425781
13
) The 380m-wide circular O2 cost £750
10
187
187
510
31,118
78
14
4,363
13,765
473
19
2,105
8,157
22,330
3,041
281
0
36
1
3.425781
6
( %01285-750
187
9
2,462
520
23,025
14
22,330
33,297
28
8,280
15
1,826
14
2,966
15
1,940
0
36
2
3.425781
3
from around £750
432
1,475
8,157
22,330
275
8,986
281
8,157
28,202
275
1,029
5,768
15
187
187
4,490
0
36
3
3.425781
15
itor CentreTOURIST INFORMATION ( %01934-750
2,081
12,169
53
2,185
4,873
1,267
2,949
43,155
187
187
9
2,462
11,325
1,706
14
22,330
0
36
4
3.425781
11
IC HOTEL ( %01780-750
1,864
388
2,415
3,887
187
187
9
2,462
11,027
1,438
14
22,330
22,330
28
8,280
15
0
36
5
3.425781
12
IC HOTEL ( %01780-750750
1,864
388
2,415
3,887
187
187
9
2,462
11,027
1,438
14
22,330
22,330
28
8,280
15
0
36
6
3.425781
1
,750
13
22,330
187
187
4,316
274
24,653
310
835
253
4,062
273
4,383
26,634
504
23,193
0
36
7
3.425781
4
%0870-750
2,462
2,904
1,967
14
22,330
854
29,579
28
8,280
15
16,735
10,730
1,094
631
15
681
0
36
8
3.425781
13
, the Bell at Skenfrith ( %01600-750
13
253
11,590
387
322
3,612
925
334
313
2,462
520
10,487
14
22,330
19,568
28
0
36
9
3.425781
9
Language & Heritage Centre ( %01758-750
18,847
708
26,254
12,169
313
2,462
520
33,607
14
22,330
24,257
28
8,280
15
45,886
72
0
36
10
3.425781
14
ba-01022485f703", "1fa750
5,830
14
520
2,640
1,348
2,227
71
30,349
995
187
50,266
3
18
6,855
22,330
1,796
0
36
11
3.425781
1
Campaign750
27,069
22,330
3,973
5,720
13
26,622
13
32,261
884
1,449
25,655
13
9,087
5,307
19
36
0
36
12
3.425781
8
enforcement.” Still, nine $750
10,473
1,425
187
187
16,812
13
7,457
370
22,330
14,997
452
644
6,808
407
3,513
15
0
36
13
3.425781
9
, Goldman Sachs announced that it will spend $750
13
35,445
46,990
6,138
326
352
588
6,947
370
22,330
6,494
689
3,578
1,107
327
18,380
0
36
14
3.425781
11
the 2013 Attorney General election; there election officials found ~750
253
4,072
10,158
4,214
6,132
28
627
6,132
6,338
1,119
5,062
22,330
625
9,922
13,008
41,366
0
36
15
3.425781
0
750
22,330
15
5,429
187
6,971
14,364
5,288
14,732
187
50,270
10,327
187
50,273
6,603
55
40,851
0
36
16
3.425781
8
art work, some Russian guy spent $750
1,445
789
13
690
7,247
5,599
5,262
370
22,330
46
327
247
2,419
275
253
5,112
0
36
17
3.425781
2
of $750
273
370
22,330
44
21,051
323
247
2,180
273
374
1,107
13
342
271
4,500
323
0
36
18
3.425781
13
, 0.7569, 0.7547, 0.750
13
470
15
1,976
2,090
13
470
15
1,976
2,504
13
470
15
22,330
24
13
0
36
19
3.425781
7
possible in the area of 0.750
1,896
275
253
2,170
273
470
15
22,330
24
428
470
15
3,566
2,055
15
380
0
36
20
3.425781
13
profit: 0.7635 Sell: 0.750
11,528
27
470
15
3,121
1,671
187
187
52
437
27
470
15
22,330
24
11,668
0
36
21
3.425781
9
must be the determining factor in assessing the *750
1,364
320
253
8,925
2,803
275
18,005
253
475
22,330
2,659
323
2,891
6,378
15
380
0
36
22
3.425781
10
. seq2;seq2Range=40750
15
186
14,571
19
28
14,571
19
12,519
30
1,449
22,330
23
13
24,769
21,889
28
0
36
23
3.425781
9
Stellar eps-matches 49750
186
998
8,739
186
2,265
14
36,531
186
2,537
22,330
186
2,537
34,305
186
2,222
15
0
36
24
3.425781
15
seq1 Stellar eps-matches 589624 589750
14,571
18
186
998
8,739
186
2,265
14
36,531
186
22
33,608
1,348
186
49,025
22,330
0
36
25
3.425781
6
108, 91, 20750
13,278
13
50,276
4,739
13
1,384
22,330
13
50,276
16,198
2,251
3,572
187
50,276
92
337
0
36
26
3.425781
1
$750
370
22,330
3,041
15
313
27,132
4,162
3,187
14
25,118
2,264
13,072
281
370
3,079
15
0
36
27
3.425781
9
, received Social Security number 529-34-750
13
2,959
8,404
9,044
1,180
40,355
14
1,706
14
22,330
25
313
527
30,782
18,143
10
0
36
28
3.425781
15
zhihu.com/question/29100816/answer/68750
91
5,801
11,917
15
681
16
19,751
16
1,717
39,687
1,036
16
31,984
16
2,358
22,330
0
36
29
3.425781
7
his congressional staff a total of $750
521
22,996
4,750
247
2,264
273
370
22,330
13
38,464
275
4,332
15
754
17,045
3,436
0
36
30
3.425781
11
multiple of 1501932 and 3754830? 750
2,709
273
1,458
11,325
1,237
285
28,458
2,385
1,229
32
187
22,330
4,196
1,549
187
5,850
0
36
31
3.425781
6
0 .750
187
187
17
187
187
15
22,330
187
187
30,769
17,771
5,462
187
187
20,655
444
0
36
32
3.425781
9
26141615*n - 17427750
3,436
1,047
1,036
1,010
11
79
428
24,727
1,630
22,330
15
187
22
5,355
79
559
0
36
33
3.425781
6
u7zFJLu750
86
24
91
39
43
22,653
22,330
1,257
34
12
1,672
83
39
22
39
91
0
36
34
3.425781
0
750
22,330
285
253
2,626
1,659
17,767
273
370
5,388
2,427
281
25,458
20,988
4,726
275
24,756
0
36
35
3.425781
6
Structure',200,10,750
29,593
1,383
1,518
13
740
13
22,330
13
48,173
10
187
68
18
15
12,519
9
0
36
36
3.425781
5
2012 to be between $750
4,050
281
320
875
370
22,330
285
370
10,695
3,041
13
25,495
273
7,355
5,347
15
0
36
37
3.425781
2
*750
187
11
22,330
7,195
500
15
11,418
13
26,712
15
2,588
904
7,359
444
15
25,063
0
36
38
3.425781
0
750
22,330
13
1,223
8,474
11,007
6,956
2,153
6,312
253
512
14
16,576
2,457
342
247
5,678
0
36
39
3.425781
10
month which is fine as the old account needed £750
1,770
534
310
4,030
347
253
1,711
2,395
3,058
8,157
22,330
247
1,770
9,495
275
313
0
36
40
3.425781
7
Total: 42.55750
187
12,481
27
50,261
2,945
15
2,417
22,330
187
49,691
1,134
9,264
187
1,541
64
29,429
0
36
41
3.425781
10
1,234. Recipients who collect $750
18
13
20,210
15
4,568
532
1,104
665
4,822
370
22,330
247
1,770
390
1,679
1,912
0
36
42
3.425781
5
$390 million to $750
370
23,850
3,041
281
370
22,330
3,041
15
1,310
388
782
249
457
84
6,007
310
0
36
43
3.425781
2
7,750
818
13
22,330
275
5,403
281
608
13
31,408
275
4,022
28
187
187
510
1,180
0
36
44
3.425781
3
are offering $750
403
9,159
370
22,330
745
40,989
40
2,694
285
2,030
6
745
4,653
49
496
11,817
0
36
45
3.425781
9
, though, will be down by about $750
13
2,167
13
588
320
1,066
407
670
370
22,330
3,041
13
390
495
2,558
13
0
36
46
3.425781
7
x90032005, 0x750
89
18,104
1,237
5,523
13
470
89
22,330
2,511
10,695
13
470
89
22
69
1,449
0
36
47
3.425781
1
x750
89
22,330
2,511
10,695
13
470
89
22
69
1,449
938
2,504
13
470
17,176
361
0
36
48
3.425781
7
did receive a scholarship of either $750
858
4,763
247
26,104
273
2,057
370
22,330
390
370
18,104
323
619
806
33,644
15
0
36
49
3.425781
15
DJ Budget $300 - $500 $500 - $750
43,996
31,706
187
187
5
7,554
428
370
5,388
187
187
5
5,388
428
370
22,330
0
36
50
3.425781
3
$750
187
187
5
22,330
428
370
9,138
187
187
5
9,138
428
370
805
1,235
187
0
36
51
3.425781
4
$500-$750
187
5
5,388
14,595
22,330
187
187
5
22,330
14,595
9,138
187
187
5
9,138
14,595
0
36
52
3.425781
8
$500-$750 $750
187
5
5,388
14,595
22,330
187
187
5
22,330
14,595
9,138
187
187
5
9,138
14,595
0
36
53
3.425781
2
- $750
428
370
22,330
187
187
5
22,330
428
370
9,138
187
187
5
9,138
428
370
0
36
54
3.425781
6
- $750 $750
428
370
22,330
187
187
5
22,330
428
370
9,138
187
187
5
9,138
428
370
0
36
55
3.425781
11
$400 - $500 $500 - $750
5
8,320
428
370
5,388
187
187
5
5,388
428
370
22,330
187
187
5
22,330
0
36
56
3.425781
15
$400 - $500 $500 - $750 $750
5
8,320
428
370
5,388
187
187
5
5,388
428
370
22,330
187
187
5
22,330
0
36
57
3.425781
4
awarding $62,750
41,076
370
3,763
13
22,330
281
29,897
6,282
11,806
2,006
38,207
323
767
6,007
19,184
285
0
36
58
3.425781
13
The jury verdict recites that Peterson was to receive $62,750
380
4,984
11,844
761
3,254
326
29,897
369
281
4,763
370
3,763
13
22,330
346
1,542
0
36
59
3.425781
10
a used 5Diii instead of an imported D750
247
908
608
37
12,211
3,185
273
271
21,117
399
22,330
13
5,055
598
247
7,353
0
36
60
3.425781
1
D750
399
22,330
534
7,314
3,013
11,854
1,066
281
428
20
8,199
15
1,292
275
958
13
0
36
61
3.425781
11
! Hi! I recently bought the Sony MDR750
2
187
187
12,764
2,195
309
4,102
8,686
253
22,645
44,341
22,330
23
323
7,346
33,096
0
36
62
3.425781
3
The Sony MDR750
510
22,645
44,341
22,330
23
403
1,175
13
533
1,046
2,014
2,278
309
1,849
1,239
273
0
36
63
3.425781
10
uk program. The Islamic bond, valued at $750
2,788
2,086
15
380
13,281
5,533
13
21,392
387
370
22,330
3,041
13
310
8,362
247
0
37
0
1.946289
6
Deprecated.swift // Rx
39,473
15
36,036
187
605
50,276
40,950
3,233
28,752
187
605
187
605
50,276
32,331
407
0
37
1
1.946289
5
_BUILD_DIR}/Rx
64
33,625
64
13,266
9,228
40,950
3,404
4,986
14
12,432
2,697
3
26,107
49
3,519
52
0
37
2
1.946289
9
_CONFIGURATION_BUILD_DIR}/Rx
64
15,365
3,322
6,570
64
33,625
64
13,266
9,228
40,950
44,756
14
12,432
2,697
3
187
0
37
3
1.946289
0
Rx
40,950
2,224
13
10,444
10,612
2,224
62
426
12,106
7,258
19,417
9
7,645
10,252
13
4,236
0
37
4
1.946289
0
Rx
40,950
2,224
13
2,303
13
38,995
13
2,781
44
17,174
13
10,928
11,594
13
1,448
26,008
0
37
5
1.946289
8
% % [improvedRx
6
190
187
6
50,274
60
303
27,369
40,950
2,224
13
10,444
10,612
2,224
62
426
0
37
6
1.946289
8
analyzeGCdesign(modelRed, selectedRx
12,106
7,258
19,417
9
7,645
10,252
13
4,236
40,950
2,224
13
2,303
13
38,995
13
2,781
0
37
7
1.946289
7
reduced model % selectedRx
43,408
1,566
190
187
6
50,274
16,191
40,950
2,224
27
50,272
16,191
4,884
1,618
432
253
0
37
8
1.946289
8
S: % improvedRx
52
27
190
187
6
50,274
303
27,369
40,950
2,224
27
50,272
783
2,634
19,395
65
0
37
9
1.946289
15
c==1); %get biomass objective function modelKO = changeRx
68
381
18
558
2,462
788
23,742
8,103
1,159
35,745
187
7,645
19,395
426
1,818
40,950
0
37
10
1.946289
12
.stat>0 modelKOfixed = changeRx
15
8,766
31
17
2,379
50,274
7,645
44
4,527
2,658
426
1,818
40,950
79
32,501
9
0
37
11
1.946289
8
rate modelTargetFixed = changeRx
2,281
2,379
50,270
7,645
12,168
26,028
426
1,818
40,950
79
32,501
9
7,645
19,395
13
7,831
0
37
12
1.946289
8
bestObjective = objective bestRx
14,461
4,241
422
426
8,103
2,379
50,274
14,461
40,950
2,224
426
44,962
2,224
28
2,379
50,274
0
37
13
1.946289
4
0 bestRx
470
2,379
50,274
14,461
40,950
2,224
426
44,962
2,224
28
190
187
423
4,888
187
6
0
37
14
1.946289
14
loop through each KO rxn and replace with every rxn from selectedRx
6,287
949
1,016
25,934
44,962
79
285
8,171
342
1,046
44,962
79
432
4,236
40,950
2,224
0
37
15
1.946289
1
bestRx
14,461
40,950
2,224
19
426
1,682
40,950
2,224
28
2,379
50,274
1,542
480
426
337
27
0
37
16
1.946289
6
bestRxns2 = bestRx
14,461
40,950
2,224
19
426
1,682
40,950
2,224
28
2,379
50,274
1,542
480
426
337
27
0
37
17
1.946289
3
length(selectedRx
3,985
9
16,191
40,950
2,224
8,744
18
2,379
50,270
9,029
24,951
4,464
75
18,958
74
14
0
37
18
1.946289
5
1)*length(selectedRx
18
2,888
3,985
9
16,191
40,950
2,224
44,306
3,985
9
18,677
2,224
8,744
18
7,672
3,985
0
37
19
1.946289
2
(selectedRx
9
16,191
40,950
2,224
8,744
18
23,090
2,379
50,270
1,826
40,950
2,224
426
44,962
2,224
28
0
37
20
1.946289
10
(selectedRxns)+1))); newRx
9
16,191
40,950
2,224
8,744
18
23,090
2,379
50,270
1,826
40,950
2,224
426
44,962
2,224
28
0
37
21
1.946289
4
==length(selectedRx
381
3,985
9
16,191
40,950
2,224
8,744
18
10
2,379
50,266
6
9,903
626
513
2,712
0
37
22
1.946289
14
at the very end elseif j ~= length(selectedRx
387
253
1,077
990
2,379
50,270
7,271
338
480
5,062
30
2,978
9
16,191
40,950
2,224
0
37
23
1.946289
5
)+1 newRx
8,744
18
2,379
50,266
1,826
40,950
2,224
92
74
94
426
4,236
40,950
2,224
92
75
0
37
24
1.946289
12
)+1 newRxns{i} = selectedRx
8,744
18
2,379
50,266
1,826
40,950
2,224
92
74
94
426
4,236
40,950
2,224
92
75
0
37
25
1.946289
11
or else remove one of the rxns newRx
263
2,010
5,386
581
273
253
44,962
2,224
2,379
50,266
1,826
40,950
2,224
426
44,962
2,224
0
37
26
1.946289
6
rxns) newRx
18,677
2,224
10
2,379
50,266
1,826
40,950
2,224
426
44,962
2,224
9
18
27
3,985
9
0
37
27
1.946289
11
rxns)-1); else newRx
18,677
2,224
4,587
18
558
2,379
50,270
7,271
2,379
50,266
1,826
40,950
2,224
426
5,798
9
0
37
28
1.946289
0
Rx
40,950
2,224
10
11,049
2,781
44
17,174
2,462
17,465
253
2,264
1,180
273
7,569
8,349
15,971
0
37
29
1.946289
5
modelKO = changeRx
50,266
7,645
19,395
426
1,818
40,950
79
32,501
9
7,645
10,252
13
1,826
40,950
2,224
13
0
37
30
1.946289
13
modelKO = changeRxnBounds(modelRed,newRx
50,266
7,645
19,395
426
1,818
40,950
79
32,501
9
7,645
10,252
13
1,826
40,950
2,224
13
0
37
31
1.946289
3
ixed = changeRx
2,658
426
1,818
40,950
79
32,501
9
7,645
19,395
13
9,989
39
13
18,446
1,909
311