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

Dataset card Data Studio Files Community
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2.474609
5
Tapas bars hidden down decre
37,113
284
8,965
8,763
1,066
2,864
18,086
7,374
656
13
17,039
23,928
4,624
275
8,030
32,284
0
221
57
2.474609
7
EMENT, index }) export const decre
17,260
13
3,605
13,985
187
15,035
1,030
2,864
420
426
313
4,663
10
3,001
35,236
1,511
0
221
58
2.474609
8
by himself', the Nazis, he now decre
407
2,994
1,383
253
33,406
13
344
1,024
2,864
264
13
574
247
987
281
2,342
0
221
59
2.474609
7
standard for the use of force is decre
2,629
323
253
897
273
3,490
310
2,864
264
407
253
6,413
2,111
13
281
36,534
0
221
60
2.474609
3
dissolution of the decre
28,425
273
253
2,864
18,086
1,340
273
5,284
40,157
267
1,204
949
521
35,224
84
313
0
221
61
2.474609
14
. In arbitration the parties to the dispute have agreed, or legislation has decre
15
496
18,087
253
4,676
281
253
12,027
452
5,821
13
390
10,843
556
2,864
264
0
221
62
2.474609
1
few decre
1,643
2,864
18,086
9,195
1,669
285
840
253
7,477
13,755
15
380
5,020
273
253
7,984
0
221
63
2.474609
3
the old and decre
253
1,711
285
2,864
18,086
13
253
2,872
3,651
431
1,644
13
253
42,837
285
7,846
0
222
0
2.234375
0
\]\[
41,018
9,955
33
29
11,388
187
1,059
305
27
35,676
16,123
64
18,677
56
8,678
10,516
0
222
1
2.234375
6
1InvalidSuffix = '[\]\[
18
19,504
52
31,941
426
41,000
41,018
9,955
33
11,388
187
1,059
305
27
35,676
16,123
0
222
2
2.234375
9
prefix\[2\][\#2]{} \[2\]\[
15,445
1,447
19
696
41,447
19
1,181
905
19
41,018
28,118
41,447
19
1,084
19
21,687
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2.234375
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:uniform\]\[
27
23,714
41,018
510
6,447
1,111
2,631
696
1,281
370
46
10,190
38
13
83
4,244
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2.234375
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}_q)$. \[ex:rankmetric\]\[
2,000
82
3,822
187
187
1,447
911
27
14,714
10,994
41,018
696
1,281
370
40
5
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222
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2.234375
6
\][\#2]{} \[2\]\[
696
41,447
19
1,181
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19
41,018
28,118
41,447
19
1,084
19
21,687
187
187
13
0
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2.234375
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omethylsulfonyl)imide \[BMP\]\[
37,109
30,923
38,258
10
42,279
905
35
4,548
41,018
13,837
5,824
696
31,191
323
1,327
14
0
222
7
2.234375
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The electrolyte was \[BMP\]\[
380
31,191
369
905
35
4,548
41,018
13,837
5,824
5,290
2,797
432
7,612
777
13,134
44,348
0
222
8
2.234375
11
n(q)$. \[IndAMAbBl\]\[
79
9
82
3,822
187
187
1,447
8,207
2,300
5,039
5,622
41,018
7,801
34
696
1,281
0
222
9
2.234375
1
72\]\[
3,547
41,018
5,528
3,566
66
696
22,883
253
4,112
273
964
1,281
46,597
2,407
418
6,092
0
222
10
2.234375
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\[question:beyond0\] and ask: \[question:beyond\]\[
1,447
19,751
27
42,218
17
696
285
1,642
27
187
187
1,447
19,751
27
42,218
41,018
0
222
11
2.234375
4
\[AILMFV\]\[
1,447
22,823
31,309
55
41,018
20,072
44
39
4,207
61
50,254
50,254
50,254
50,254
50,254
50,254
0
222
12
2.234375
4
.\[DNE\]\[
50,272
23,505
37
6,603
41,018
9,952
11,070
41,018
1,267
16,354
7,748
48,965
3,077
31,060
56
696
0
222
13
2.234375
7
.\[DNE\]\[\^PG\]\[
50,272
23,505
37
6,603
41,018
9,952
11,070
41,018
1,267
16,354
7,748
48,965
3,077
31,060
56
696
0
222
14
2.234375
9
..)\|(\[\^PEDGKN\]\[
537
1,572
93
1,035
5,709
63
48,389
40
25,227
41,018
20,941
43,621
3,252
46
8,001
1,572
0
222
15
2.234375
13
, "$1") .replace(/\[(.*?)\]\[
13
12,122
18
2,807
187
50,266
15
13,481
33,692
1,447
9
5,929
14,677
41,018
5,929
32
0
222
16
2.234375
8
\[2\][\#2]{} \[2\]\[
1,447
19
696
41,447
19
1,181
905
19
41,018
28,118
41,447
19
1,084
19
21,687
187
0
222
17
2.234375
11
]{}urlprefix\[2\][\#2]{} \[2\]\[
1,181
6,434
15,445
1,447
19
696
41,447
19
1,181
905
19
41,018
28,118
41,447
19
1,084
0
222
18
2.234375
4
2]{} \[2\]\[
19
1,181
905
19
41,018
28,118
41,447
19
1,084
19
21,687
187
187
13
1,157
1,157
0
222
19
2.234375
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of our main results. \[\]\[
273
776
2,022
1,543
15
187
187
1,447
41,018
28,118
1,202
7,597
64
18
13,488
905
0
222
20
2.234375
0
\]\[
41,018
28,118
1,202
1,464
64
18
13,488
905
41,018
28,118
1,202
7,597
12,740
18
20,977
905
0
222
21
2.234375
8
\]\[\][$\eta_1$]{} \[\]\[
41,018
28,118
1,202
1,464
64
18
13,488
905
41,018
28,118
1,202
7,597
12,740
18
20,977
905
0
222
22
2.234375
0
\]\[
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
696
16,369
53
64
18
13,488
905
0
222
23
2.234375
8
\]\[\][$\eta_{-1}$]{} \[\]\[
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
696
16,369
53
64
18
13,488
905
0
222
24
2.234375
0
\]\[
41,018
696
16,369
53
64
17
13,488
905
41,018
696
16,369
51
13,488
905
41,018
696
0
222
25
2.234375
8
\]\[\][$T_0$]{} \[\]\[
41,018
696
16,369
53
64
17
13,488
905
41,018
696
16,369
51
13,488
905
41,018
696
0
222
26
2.234375
14
\]\[\][$T_0$]{} \[\]\[\][$R$]{} \[\]\[
41,018
696
16,369
53
64
17
13,488
905
41,018
696
16,369
51
13,488
905
41,018
696
0
222
27
2.234375
14
with $\overline{\mathcal{A}^*(-a)}$. \[\]\[
342
669
4,862
464
1,588
92
34
2,306
14,361
66
28,185
187
187
1,447
41,018
28,118
0
222
28
2.234375
6
$\zeta_1$]{} \[\]\[
1,202
7,597
64
18
13,488
905
41,018
28,118
1,202
1,464
64
18
13,488
905
41,018
28,118
0
222
29
2.234375
14
$\zeta_1$]{} \[\]\[\][$\eta_1$]{} \[\]\[
1,202
7,597
64
18
13,488
905
41,018
28,118
1,202
1,464
64
18
13,488
905
41,018
28,118
0
222
30
2.234375
6
$\zeta_{-1}$]{} \[\]\[
1,202
7,597
12,740
18
20,977
905
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
696
0
222
31
2.234375
14
$\zeta_{-1}$]{} \[\]\[\][$\eta_{-1}$]{} \[\]\[
1,202
7,597
12,740
18
20,977
905
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
696
0
222
32
2.234375
6
[$f_a$]{} \[\]\[
16,369
71
64
66
13,488
905
41,018
696
16,369
54
64
66
13,488
905
41,018
696
0
222
33
2.234375
14
[$f_a$]{} \[\]\[\][$U_a$]{} \[\]\[
16,369
71
64
66
13,488
905
41,018
696
16,369
54
64
66
13,488
905
41,018
696
0
222
34
2.234375
6
[$V_a$]{} \[\]\[
16,369
55
64
66
13,488
905
41,018
696
16,369
45
13,488
905
41,018
696
16,369
51
0
222
35
2.234375
12
[$V_a$]{} \[\]\[\][$L$]{} \[\]\[
16,369
55
64
66
13,488
905
41,018
696
16,369
45
13,488
905
41,018
696
16,369
51
0
222
36
2.234375
7
an strict contraction. \[\]\[
271
7,654
22,170
15
187
187
1,447
41,018
28,118
1,202
3,214
329
3,503
1,490
66
1,009
0
222
37
2.234375
2
]{} \[\]\[
1,181
905
41,018
28,118
2,911
66
13,488
905
41,018
28,118
1,202
3,442
64
83
13,488
905
0
222
38
2.234375
8
]{} \[\]\[\][$-a$]{} \[\]\[
1,181
905
41,018
28,118
2,911
66
13,488
905
41,018
28,118
1,202
3,442
64
83
13,488
905
0
222
39
2.234375
0
\]\[
41,018
696
16,369
46
13,488
905
41,018
28,118
2,911
66
13,488
905
41,018
696
16,369
35
0
222
40
2.234375
6
\]\[\][$M$]{} \[\]\[
41,018
696
16,369
46
13,488
905
41,018
28,118
2,911
66
13,488
905
41,018
696
16,369
35
0
222
41
2.234375
12
\]\[\][$M$]{} \[\]\[\][$-a$]{} \[\]\[
41,018
696
16,369
46
13,488
905
41,018
28,118
2,911
66
13,488
905
41,018
696
16,369
35
0
222
42
2.234375
7
_{\varepsilon}(0)$]{} \[\]\[
1,126
4,519
1,603
17
1,009
1,181
905
41,018
696
16,369
38
13,488
905
41,018
696
16,369
0
222
43
2.234375
13
_{\varepsilon}(0)$]{} \[\]\[\][$E$]{} \[\]\[
1,126
4,519
1,603
17
1,009
1,181
905
41,018
696
16,369
38
13,488
905
41,018
696
16,369
0
222
44
2.234375
5
tails\]. \[\]\[
37,465
4,207
187
187
1,447
41,018
28,118
1,202
7,597
64
18
13,488
905
41,018
28,118
1,202
0
222
45
2.234375
13
tails\]. \[\]\[\][$\zeta_1$]{} \[\]\[
37,465
4,207
187
187
1,447
41,018
28,118
1,202
7,597
64
18
13,488
905
41,018
28,118
1,202
0
222
46
2.234375
5
zeta_{-1}$]{} \[\]\[
7,597
12,740
18
20,977
905
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
28,118
1,202
0
222
47
2.234375
13
zeta_{-1}$]{} \[\]\[\][$\eta_{-1}$]{} \[\]\[
7,597
12,740
18
20,977
905
41,018
28,118
1,202
1,464
12,740
18
20,977
905
41,018
28,118
1,202
0
222
48
2.234375
5
eta_{1}$]{} \[\]\[
1,464
578
18
20,977
905
41,018
28,118
6,999
91
4,010
51
13,488
905
41,018
696
16,369
0
222
49
2.234375
13
eta_{1}$]{} \[\]\[\][$(z)=R$]{} \[\]\[
1,464
578
18
20,977
905
41,018
28,118
6,999
91
4,010
51
13,488
905
41,018
696
16,369
0
222
50
2.234375
5
w_t$]{} \[\]\[
88
64
85
13,488
905
41,018
28,118
1,202
1,637
64
85
13,488
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41,018
696
16,369
0
222
51
2.234375
13
w_t$]{} \[\]\[\][$\alpha_t$]{} \[\]\[
88
64
85
13,488
905
41,018
28,118
1,202
1,637
64
85
13,488
905
41,018
696
16,369
0
222
52
2.234375
3
\[BPy\]\[
905
7,282
90
41,018
8,282
48
95
21
95
3,851
452
671
644
4,102
5,611
347
0
222
53
2.234375
8
\[2\][\#2]{} \[2\]\[
1,447
19
696
41,447
19
1,181
905
19
41,018
28,118
41,447
19
1,084
19
21,687
187
0
222
54
2.234375
10
algorithm in our scenario. \[iter1\]\[
5,933
275
776
10,076
15
187
187
1,447
2,562
18
41,018
6,407
629
273
19,502
696
0
222
55
2.234375
10
sqrt{\log n})$. \[iter2\]\[
2,609
464
2,808
295
17,137
187
187
1,447
2,562
19
41,018
10,951
629
273
19,502
696
0
222
56
2.234375
2
\[m\]\[
905
78
41,018
71
41,018
72
5,290
3,634
27
9,782
89
15,461
26,320
13
5,268
27
0
222
57
2.234375
4
\[m\]\[f\]\[
905
78
41,018
71
41,018
72
5,290
3,634
27
9,782
89
15,461
26,320
13
5,268
27
0
222
58
2.234375
5
]{}]{}urlprefix\[2\]\[
9,899
6,434
15,445
1,447
19
41,018
28,118
41,447
19
1,084
19
21,687
1,780
585
265
329
0
222
59
2.234375
0
\]\[
41,018
28,118
41,447
19
1,084
19
21,687
187
187
46
15
500
15
24,465
266
13
0
222
60
2.234375
5
[\#2]{} \[2\]\[
41,447
19
1,181
905
19
41,018
28,118
41,447
19
1,084
19
21,687
187
187
13
1,157
0
222
61
2.234375
15
`#1`]{}urlprefix\[2\][\#2]{} \[2\]\[
65
4
18
65
1,181
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19
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19
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905
19
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0
222
62
2.234375
7
\[3,4-*c*\]\[
1,447
20
13
21
13,023
68
11
41,018
18
13
21
696
394
13,306
249
14
0
222
63
2.234375
7
\[2,1-*b*\]\[
1,447
19
13
18
13,023
67
11
41,018
18
13
20
696
394
13,306
3,841
671
0
223
0
2.201172
13
You take his arms." "Right." "Come on." "Hang
1,394
1,379
521
6,174
449
346
8,455
449
346
8,380
327
449
346
49,026
327
449
0
223
1
2.201172
2
, "Hang
13
346
49,026
275
627
13
24,173
15
1,422
1,833
452
634
10,988
896
3,517
2,217
0
223
2
2.201172
11
, I felt compelled to try it. "Hang
13
309
3,543
25,042
281
1,611
352
15
187
187
3
49,026
327
1,476
309
44,462
0
223
3
2.201172
2
"Hang
187
3
49,026
327
937
309
753
22,072
314
15
1,284
309
4,879
1,078
13
9,916
0
223
4
2.201172
8
reel in line as I went. "Hang
41,012
275
1,386
347
309
2,427
15
346
49,026
275
627
13
23,203
4,998
937
309
0
223
5
2.201172
8
—hang in there." "Hang
1,128
12,109
275
627
449
187
187
3
49,026
275
627
4,834
13
23,316
937
703
0
223
6
2.201172
7
take a while. "Hang
1,379
247
1,223
15
187
187
3
49,026
275
627
13
11,128
15
309
1,833
452
0
223
7
2.201172
5
treatment." "Hang
1,971
449
187
187
3
49,026
275
627
15
11,578
383
4,758
15
309
1,833
320
0
223
8
2.201172
5
ambers) and Geoff (Hang
17,688
10
285
33,418
313
49,026
435
1,216
481
1,583
457
306
6,518
281
1,480
479
0
223
9
2.201172
9
you." "They want you dead." "Hang
368
449
346
3,726
971
368
3,846
449
346
49,026
327
449
346
1,552
310
3,255
0
223
10
2.201172
0
Hang
49,026
275
627
13
5,769
343
449
346
7,865
247
2,236
39,877
449
346
1,147
1,833
0
223
11
2.201172
5
QQ.Net.BatchHang
25,138
15
8,695
15
34,561
49,026
25,138
15
31,489
28
187
5,302
891
25,138
15
8,695
0
223
12
2.201172
2
.BatchHang
15
34,561
49,026
25,138
15
12,804
28
187
5,302
891
25,138
15
8,695
15
9,770
25,138
0
223
13
2.201172
0
Hang
49,026
25,138
187
92
187
50,274
4,387
7,898
966
401
78
25,138
2,765
1,163
7,191
187
0
223
14
2.201172
0
Hang
49,026
40,305
5,706
21,680
187
187
4,527
253
1,384
39,008
40,305
31,154
7,117
1,060
4,255
9,396
0
223
15
2.201172
0
Hang
49,026
562
342
441
327
253
1,563
13,498
27
187
10,548
12,068
27
3,944
1,358
6,839
0
223
16
2.201172
9
sub_confirmation=1 - Hang
2,377
64
38,286
318
30
18
187
14
187
49,026
562
342
441
327
253
1,563
0
223
17
2.201172
3
- Hang
187
14
187
49,026
562
342
441
327
253
1,563
13,498
27
187
10,548
12,068
27
0
223
18
2.201172
11
world?sub_confirmation=1 - Hang
10,186
32
2,377
64
38,286
318
30
18
187
14
187
49,026
562
342
441
327
0
223
19
2.201172
14
who is/isn’t allowed to own guns. Hang
665
310
16
261
79
457
85
4,136
281
1,211
11,942
15
187
187
49,026
327
0
223
20
2.201172
7
my seminar registration form I insisted "Hang
619
44,588
12,960
830
309
16,701
346
49,026
723
281
320
5,196
275
3,098
304
90
0
223
21
2.201172
7
Ruff?" "Huh?" "Hang
416
2,066
865
346
38,532
865
346
49,026
327
13
416
2,066
13
309
1,353
3,551
0
223
22
2.201172
8
!" "Uh, excuse me." "Hang
1,476
346
18,931
13
16,267
479
449
346
49,026
327
13
29,517
13
309
1,353
389
0
223
23
2.201172
7
a programme of agricultural reforms. 'Hang
247
13,521
273
17,340
23,809
15
686
49,026
313
395
1,056
2,119
326
253
14,203
3,936
0
223
24
2.201172
8
the Sega arcade classic, "Hang
253
322
3,604
12,423
796
10,610
13
346
49,026
14
2,374
16,296
309
671
20,673
247
0
223
25
2.201172
15
bus is about to leave." "Things are way beyond my control." "Hang
1,685
310
670
281
3,553
449
346
32,244
403
1,039
4,457
619
1,453
449
346
49,026
0
223
26
2.201172
15
." "Hey uncle, hurry." "It's time to go!" "Hang
449
346
8,262
18,796
13
24,284
449
346
1,147
434
673
281
564
1,476
346
49,026
0
223
27
2.201172
14
to the next level as a public company in the future.” Hang
281
253
1,735
1,268
347
247
1,345
2,567
275
253
2,852
1,425
187
187
49,026
40,305