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mlsae-pythia-70m-deduped-x64-k256-examples

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["\u0120for", "\u0120table", "\u0120moving", "\u0120and", "\u0120that", "\u0120can", "\u0120be", "\u0120a"]
[0.0, 0.0, 0.0, 0.0, 2.4296875, 0.0, 0.0, 0.0]
12,490
26,080
0
320
be
0.548828
[4886, 285, 326, 476, 320, 247, 2372, 21643]
["\u0120moving", "\u0120and", "\u0120that", "\u0120can", "\u0120be", "\u0120a", "\u0120bit", "\u0120confusing"]
[0.0, 0.0, 0.0, 0.0, 0.548828125, 0.0, 0.0, 0.0]
12,849
6,879
0
2,372
bit
5.214844
[326, 476, 320, 247, 2372, 21643, 15, 187]
["\u0120that", "\u0120can", "\u0120be", "\u0120a", "\u0120bit", "\u0120confusing", ".", "\u010a"]
[0.0, 0.0, 0.0, 0.0, 5.21484375, 0.0, 0.0, 0.0]
12,957
19,135
0
2,372
bit
1.3125
[326, 476, 320, 247, 2372, 21643, 15, 187]
["\u0120that", "\u0120can", "\u0120be", "\u0120a", "\u0120bit", "\u0120confusing", ".", "\u010a"]
[0.0, 0.0, 0.0, 0.0, 1.3125, 0.0, 0.0, 0.0]
13,073
2,845
0
21,643
confusing
0.635254
[476, 320, 247, 2372, 21643, 15, 187, 187]
["\u0120can", "\u0120be", "\u0120a", "\u0120bit", "\u0120confusing", ".", "\u010a", "\u010a"]
[0.0, 0.0, 0.0, 0.0, 0.63525390625, 0.0, 0.0, 0.0]
14,091
1,471
0
2,512
There
1.650391
[21643, 15, 187, 187, 2512, 457, 84, 247]
["\u0120confusing", ".", "\u010a", "\u010a", "There", "\u00e2\u0122\u013b", "s", "\u0120a"]
[0.0, 0.0, 0.0, 0.0, 1.650390625, 0.0, 0.0, 0.0]
15,262
21,252
0
2,257
lot
5.957031
[2512, 457, 84, 247, 2257, 309, 457, 69]
["There", "\u00e2\u0122\u013b", "s", "\u0120a", "\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d"]
[0.0, 0.0, 0.0, 0.0, 5.95703125, 0.0, 0.0, 0.0]
15,315
27,079
0
2,257
lot
1.040039
[2512, 457, 84, 247, 2257, 309, 457, 69]
["There", "\u00e2\u0122\u013b", "s", "\u0120a", "\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d"]
[0.0, 0.0, 0.0, 0.0, 1.0400390625, 0.0, 0.0, 0.0]
16,060
24,793
0
69
d
0.605469
[247, 2257, 309, 457, 69, 751, 281, 2312]
["\u0120a", "\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk"]
[0.0, 0.0, 0.0, 0.0, 0.60546875, 0.0, 0.0, 0.0]
16,075
26,367
0
69
d
7.429688
[247, 2257, 309, 457, 69, 751, 281, 2312]
["\u0120a", "\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk"]
[0.0, 0.0, 0.0, 0.0, 7.4296875, 0.0, 0.0, 0.0]
16,266
17,766
0
751
like
4.226563
[2257, 309, 457, 69, 751, 281, 2312, 670]
["\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about"]
[0.0, 0.0, 0.0, 0.0, 4.2265625, 0.0, 0.0, 0.0]
16,291
22,160
0
751
like
2.767578
[2257, 309, 457, 69, 751, 281, 2312, 670]
["\u0120lot", "\u0120I", "\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about"]
[0.0, 0.0, 0.35498046875, 0.736328125, 2.767578125, 1.0146484375, 0.88623046875, 0.3857421875]
16,417
5,304
0
281
to
0.977539
[309, 457, 69, 751, 281, 2312, 670, 15]
["\u0120I", "\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about", "."]
[0.0, 0.0, 0.0, 0.0, 0.9775390625, 0.0, 0.0, 0.0]
16,656
1,794
0
2,312
talk
3.458984
[457, 69, 751, 281, 2312, 670, 15, 309]
["\u00e2\u0122\u013b", "d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about", ".", "\u0120I"]
[0.0, 0.0, 0.0, 0.0, 3.458984375, 0.0, 0.0, 0.0]
17,087
23,657
0
670
about
0.582031
[69, 751, 281, 2312, 670, 15, 309, 457]
["d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about", ".", "\u0120I", "\u00e2\u0122\u013b"]
[0.0, 0.0, 0.0, 0.0, 0.58203125, 0.0, 0.0, 0.0]
17,144
31,359
0
670
about
0.339111
[69, 751, 281, 2312, 670, 15, 309, 457]
["d", "\u0120like", "\u0120to", "\u0120talk", "\u0120about", ".", "\u0120I", "\u00e2\u0122\u013b"]
[0.0, 0.0, 0.0, 0.0, 0.339111328125, 0.0, 0.0, 0.0]
18,067
18,266
0
620
ll
1.019531
[670, 15, 309, 457, 620, 564, 949, 1046]
["\u0120about", ".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every"]
[0.0, 0.0, 0.0, 0.0, 1.01953125, 0.0, 0.0, 0.0]
18,114
25,091
0
620
ll
1.860352
[670, 15, 309, 457, 620, 564, 949, 1046]
["\u0120about", ".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every"]
[0.0, 0.0, 0.0, 0.0, 1.8603515625, 0.0, 0.0, 0.0]
18,131
26,444
0
620
ll
3.035156
[670, 15, 309, 457, 620, 564, 949, 1046]
["\u0120about", ".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every"]
[0.0, 0.0, 0.0, 0.0, 3.03515625, 0.0, 0.0, 0.0]
18,198
4,358
0
564
go
4.542969
[15, 309, 457, 620, 564, 949, 1046, 9400]
[".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every", "\u0120topic"]
[0.0, 0.0, 0.0, 0.0, 4.54296875, 0.0, 0.0, 0.0]
18,340
22,653
0
564
go
2.521484
[15, 309, 457, 620, 564, 949, 1046, 9400]
[".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every", "\u0120topic"]
[0.0, 0.0, 0.0, 0.0, 2.521484375, 0.0, 0.0, 0.0]
18,364
24,963
0
564
go
3.378906
[15, 309, 457, 620, 564, 949, 1046, 9400]
[".", "\u0120I", "\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every", "\u0120topic"]
[0.0, 0.0, 0.0, 0.0, 3.37890625, 0.0, 0.0, 0.0]
18,826
17,290
0
1,046
every
0.896484
[457, 620, 564, 949, 1046, 9400, 13, 978]
["\u00e2\u0122\u013b", "ll", "\u0120go", "\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst"]
[0.0, 0.0, 0.0, 0.0, 0.896484375, 0.0, 0.0, 0.0]
19,181
29,292
0
9,400
topic
0.479248
[620, 564, 949, 1046, 9400, 13, 978, 264]
["ll", "\u0120go", "\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst", "ed"]
[0.0, 0.0, 0.0, 0.0, 0.479248046875, 0.0, 0.0, 0.0]
19,490
4,025
0
978
inst
0.969727
[949, 1046, 9400, 13, 978, 264, 273, 2403]
["\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst", "ed", "\u0120of", "\u0120making"]
[0.0, 0.0, 0.0, 0.0, 0.9697265625, 0.0, 0.0, 0.0]
19,517
9,134
0
978
inst
0.747559
[949, 1046, 9400, 13, 978, 264, 273, 2403]
["\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst", "ed", "\u0120of", "\u0120making"]
[0.0, 0.0, 0.0, 0.0, 0.74755859375, 0.0, 0.0, 0.0]
19,568
15,963
0
978
inst
0.855469
[949, 1046, 9400, 13, 978, 264, 273, 2403]
["\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst", "ed", "\u0120of", "\u0120making"]
[0.0, 0.0, 0.0, 0.0, 0.85546875, 0.0, 0.0, 0.0]
19,575
16,763
0
978
inst
0.720215
[949, 1046, 9400, 13, 978, 264, 273, 2403]
["\u0120through", "\u0120every", "\u0120topic", ",", "\u0120inst", "ed", "\u0120of", "\u0120making"]
[0.0, 0.0, 0.0, 0.0, 0.72021484375, 0.0, 0.0, 0.0]
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Collection including tim-lawson/mlsae-pythia-70m-deduped-x64-k256-examples