layer int64 | feature_index int64 | description string | explanation string | top_examples list | top_examples_tks list | average_activation float64 | top_activating_tokens list | raw_explanation string | language_distribution dict | general_language_distribution dict | filename string |
|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 0 | Appeared in text | This feature activates on the verb "appeared" and its variations. | [
"装备。打开神装2转装备合成，我们会发现其中 <<出现了>> 6",
"驻地偏远，条件艰苦，去年以来，部队出色 <<完成了>> 多项",
"揽子经济刺激方案包括税收政策实施后，中国经济运行 <<出现了>> 企",
"痛 <<打了>> 张贺。陆冬雨终于 <<出现了>> 。他解释， ",
"存在着阴谋者，发誓要调查其中的真相，他 <<找到了>> 八卦",
"到活动，这款溜光的中分发已经 <<出现了>> 800次。众",
"——亦即今天才是正式发行的大日子！最近网上终于 <<出现了>> 三",
"太空之旅所吸引，同時也藉著電視轉播，第一次 <<看到了>> 距離",
"宁 <<进行了>> 会面，而这也... | [
{
"activations": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
5.59375,
0
],
"max_val": 5.59375,
"tokens": [
4430,
25734,
424,
16419,
3037,
3418,
22,
4430,
... | 3.934867 | [
{
"average_activation": 5.2998883928571425,
"frequency": 35,
"token": "出现了",
"token_id": 48526
},
{
"average_activation": 5.288125,
"frequency": 25,
"token": "完成了",
"token_id": 42881
},
{
"average_activation": 5.28953125,
"frequency": 25,
"token": "找到了",
"toke... | \]
[DESCRIPTION]: Appeared in text
[EXPLANATION]: This feature activates on the verb "appeared" and its variations. | {
"arb_Arab": null,
"cmn_Hani": 1,
"deu_Latn": null,
"eng": null,
"fra_Latn": null
} | {
"arb_Arab": 0.002175489485134155,
"cmn_Hani": 0.994198694706309,
"deu_Latn": 0.0018458698661744347,
"eng": 0.0014503263234227702,
"fra_Latn": 0.00032961961895972046
} | feature_0_complete.json |
0 | 10,000 | Unknown | No explanation | [
"ارتين مفخختين استهدفا العاصمة أنقرة هذا العام. المصدر <<: رويترز>>",
" مؤسسة تام <<سون رويترز>> تشير الى ان استيراد الهند النفطي من ايران في شهر آب",
" مليشيا “وحدات حماية الشعب الكردية” شمال سوريا. ونقلت وكالة <<رويترز>> وزارة",
"ّرح بعض المسؤولين لدى شركة استون مارتن لوكالة <<رويترز>> بأنه سيتم طرح الشر... | [
{
"activations": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
2.72265625
],
"max_val": 2.72265625,
"tokens": [
22659,
70415,
11396,
552,
4211,
493,
33930,
... | 1.821949 | [
{
"average_activation": 2.571856831395349,
"frequency": 86,
"token": " رويترز",
"token_id": 29823
},
{
"average_activation": 2.52783203125,
"frequency": 8,
"token": " gambling",
"token_id": 11381
},
{
"average_activation": 2.508984375,
"frequency": 5,
"token": "与其... | {
"arb_Arab": 0.87,
"cmn_Hani": 0.05,
"deu_Latn": null,
"eng": 0.08,
"fra_Latn": null
} | {
"arb_Arab": 0.6299926488605734,
"cmn_Hani": 0.19235481499632442,
"deu_Latn": 0.08306787552070571,
"eng": 0.05366331781426121,
"fra_Latn": 0.04092134280813526
} | feature_10000_complete.json | |
0 | 10,001 | Unknown | No explanation | [
"ige Post <<-Punk-Gruppe>> aus Arkansas und Washington. Sie wurde 1999",
"’architectures Asylum, Ph <<unk>> and Furious. Plus de",
" R <<unkit>> afin de supprimer une constante en PHP. Après plusieurs heures a",
" lang vertheidigte M <<unkacs,>> und übernahm hierauf in Siebenb",
"<<ampunk,>> quant à l'... | [
{
"activations": [
0,
0,
0,
0,
0,
6.109375,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"max_val": 6.109375,
"tokens": [
40522,
1160,
8148,
17,
52,
5043,
17,
48014,
... | 3.63804 | [
{
"average_activation": 5.877127165841584,
"frequency": 101,
"token": "unk",
"token_id": 5043
}
] | {
"arb_Arab": 0.01,
"cmn_Hani": 0.02,
"deu_Latn": 0.51,
"eng": 0.33,
"fra_Latn": 0.13
} | {
"arb_Arab": 0.004726536124240378,
"cmn_Hani": 0.16948008102633355,
"deu_Latn": 0.18433490884537473,
"eng": 0.35111411208642807,
"fra_Latn": 0.29034436191762325
} | feature_10001_complete.json | |
0 | 10,002 | Unknown | No explanation | [
"55 King Hussain Street <<City>> Center ,Amman 11181, 安曼",
" de sociétés. On peut rejoindre Hard Rock Hotel & Casino Si <<oux City>> dans",
" & Casino Si <<oux City>> offre 54 chambres, qui sont équipées avec une TV",
" Center, Seashell Drive, Mall of Asia Complex, Pas <<ay City.>>",
"'hôtel designer Har... | [
{
"activations": [
0,
0,
0,
0,
0,
0,
4.546875,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
"max_val": 4.546875,
"tokens": [
2784,
7489,
9373,
109365,
472,
9522,
6072,
7143... | 2.169238 | [
{
"average_activation": 4.414024939903846,
"frequency": 104,
"token": " City",
"token_id": 6072
},
{
"average_activation": 3.611328125,
"frequency": 1,
"token": "City",
"token_id": 39212
}
] | {
"arb_Arab": 0.01,
"cmn_Hani": 0.07,
"deu_Latn": 0.09,
"eng": 0.49,
"fra_Latn": 0.34
} | {
"arb_Arab": 0.15703558602677115,
"cmn_Hani": 0.3762650995755795,
"deu_Latn": 0.09647404505386875,
"eng": 0.3059092393078681,
"fra_Latn": 0.0643160300359125
} | feature_10002_complete.json | |
0 | 10,003 | Unknown | No explanation | [
" si ce n’est pas dit officiellement, je crois que ça <<l’>>",
"c0. Je crois que je ne <<l'ai>> pas mentionné dans les",
"'est le temps qui me permet de le dire -, je crois que <<l>>",
" crois qu'elle n'est pas très loin de <<l'assiette>> espagnole",
"adore le poisson, particulièrement le cabillaud… je pe... | [
{
"activations": [
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
3.416015625,
0
],
"max_val": 3.416015625,
"tokens": [
12446,
1252,
550,
262,
271,
298,
466,
252... | 1.244109 | [
{
"average_activation": 2.63408203125,
"frequency": 100,
"token": " l",
"token_id": 219
},
{
"average_activation": 2.4296875,
"frequency": 1,
"token": " n",
"token_id": 262
}
] | {
"arb_Arab": null,
"cmn_Hani": null,
"deu_Latn": null,
"eng": null,
"fra_Latn": 1
} | {
"arb_Arab": 0.00008491126772522713,
"cmn_Hani": null,
"deu_Latn": 0.00008491126772522713,
"eng": 0.00008491126772522713,
"fra_Latn": 0.9997452661968244
} | feature_10003_complete.json | |
0 | 10,004 | Unknown | No explanation | [
"的艇 <<仔>> 粥 艇 <<仔>> 粥：HK.13？ 港",
"食材 吻 <<仔>> 魚 一盒 雞蛋 3顆 板豆腐 一",
"欢猪 <<仔>> 恼怒唐三挠温柔脱逃线上老虎机，魅惑技",
"不願再做鴨 <<仔>> ，自己坐小巴去了在荒山",
"豬排雞蛋公 <<仔>> 麵 當然少不了我愛喝的港",
"切 <<仔>> 麵买凶杀人? 很好其他到底要杀谁 要",
"不能一直逃避不想做寫實公 <<仔>> 了 於是....開始動",
" Workshop 香港 <<仔>> 黃竹坑道42號 利美中心3",
"<<仔>> 猴青筋http://static.youku.com/v1.",
"<<仔>> ... | [
{
"activations": [
0,
0,
0,
3.04296875,
0,
0,
0,
3.1640625,
0,
0,
0,
0,
0,
0,
0,
0
],
"max_val": 3.1640625,
"tokens": [
29396,
333,
40595,
16743,
50234,
175,
4059... | 1.791594 | [
{
"average_activation": 2.9488932291666665,
"frequency": 90,
"token": "仔",
"token_id": 16743
},
{
"average_activation": 2.6357421875,
"frequency": 8,
"token": " نواكشوط",
"token_id": 81827
},
{
"average_activation": 2.59765625,
"frequency": 3,
"token": "ونة",
... | {
"arb_Arab": 0.1,
"cmn_Hani": 0.9,
"deu_Latn": null,
"eng": null,
"fra_Latn": null
} | {
"arb_Arab": 0.3551844466600199,
"cmn_Hani": 0.29636091724825525,
"deu_Latn": 0.24925224327018944,
"eng": 0.024675972083748755,
"fra_Latn": 0.07452642073778663
} | feature_10004_complete.json | |
0 | 10,005 | Unknown | No explanation | ["<<Adenauer-Straße,>> Viktoriastraße aufgrund von Teilsperr","ie P <<ettauer>> habe ich eine M(...TRUNCATED) | [{"activations":[0.0,0.0,-0.0,4.2578125,0.0,-0.0,0.0,0.0,-0.0,0.0,-0.0,-0.0,0.0,0.0,0.0,-0.0],"max_v(...TRUNCATED) | 2.795318 | [{"average_activation":4.075804227941177,"frequency":85,"token":"auer","token_id":6277},{"average_ac(...TRUNCATED) | {
"arb_Arab": null,
"cmn_Hani": 0.17,
"deu_Latn": 0.8,
"eng": 0.02,
"fra_Latn": 0.01
} | {"arb_Arab":0.02659176029962547,"cmn_Hani":0.4535580524344569,"deu_Latn":0.15093632958801498,"eng":0(...TRUNCATED) | feature_10005_complete.json | |
0 | 10,006 | Unknown | No explanation | [" potentially help improve your overall well-being. - Be <<realistic>> about what you"," matches? (...TRUNCATED) | [{"activations":[0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,0.0,-0.0,-0.0,11.109375,-0.0,-0.0,-0.0](...TRUNCATED) | 2.817673 | [{"average_activation":10.832763671875,"frequency":32,"token":" realistic","token_id":37184},{"avera(...TRUNCATED) | {
"arb_Arab": null,
"cmn_Hani": null,
"deu_Latn": 0.23,
"eng": 0.36,
"fra_Latn": 0.41
} | {"arb_Arab":0.023369036027263874,"cmn_Hani":0.0691333982473223,"deu_Latn":0.15384615384615385,"eng":(...TRUNCATED) | feature_10006_complete.json | |
0 | 10,007 | Unknown | No explanation | [". Henri-Pierre Penel s <<’occupait>> déjà de la rubrique Élect"," red in horizontal stripes,(...TRUNCATED) | [{"activations":[-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,4.08203125,-0.0,-0.0,-0.0,-0.0,-0.0,-0(...TRUNCATED) | 1.868789 | [{"average_activation":3.662016369047619,"frequency":21,"token":"occupation","token_id":33906},{"ave(...TRUNCATED) | {
"arb_Arab": 0.15,
"cmn_Hani": 0.06,
"deu_Latn": null,
"eng": 0.33,
"fra_Latn": 0.46
} | {"arb_Arab":0.24356114378422228,"cmn_Hani":0.3078483066315149,"deu_Latn":0.13607787467045224,"eng":0(...TRUNCATED) | feature_10007_complete.json | |
0 | 10,008 | Unknown | No explanation | ["لوب من خلال زيارة هذه <<المعارض،>> مُضيفةً أنها تعمل مع(...TRUNCATED) | [{"activations":[-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,3.00390625,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0.0,-0(...TRUNCATED) | 1.738801 | [{"average_activation":2.913486168032787,"frequency":61,"token":" المعارض","token_id":48090},(...TRUNCATED) | {
"arb_Arab": 0.62,
"cmn_Hani": null,
"deu_Latn": 0.38,
"eng": null,
"fra_Latn": null
} | {"arb_Arab":0.28295198195294874,"cmn_Hani":0.368030937802127,"deu_Latn":0.18304866258459554,"eng":0.(...TRUNCATED) | feature_10008_complete.json |
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GPT2 Multilingual 20% AutoInterp Features
This dataset contains feature interpretations for GPT2 Multilingual model with 20% sparsity.
Structure
data/layer0.parquet- Features for layer 0data/layer1.parquet- Features for layer 1- ...
data/layer11.parquet- Features for layer 11
Each parquet file contains feature interpretation data including:
- Feature activations
- Top examples
- Interpretations
- And other feature analysis data
Usage
from datasets import load_dataset
# Load specific layer
dataset = load_dataset("fdraye/autointerp-gpt2-multilingual-20", data_files="data/layer0.parquet")
# Load all layers
dataset = load_dataset("fdraye/autointerp-gpt2-multilingual-20", data_files="data/*.parquet")
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