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LW - Glitch Token Catalog - (Almost) a Full Clear by Lao Mein

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Innehåll tillhandahållet av The Nonlinear Fund. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av The Nonlinear Fund eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Glitch Token Catalog - (Almost) a Full Clear, published by Lao Mein on September 22, 2024 on LessWrong.
This is a collection of every unidentified GPT2 glitch token listed in the third glitch token archaeology post. I was able to find the source of every single one, except for "?????-" and "?????-?????-"[1]. Please tell me if I missed one, or you've discovered one and don't understand where it came from. This isn't meant to be a well-written analysis, just a quick repository of my glitch-hunting observations.
I plan on writing up and categorizing all of these in greater detail in future posts. The first of which is here.
I used OpenWebText, a recreation of GPT2's training data, for all experiments in this post. I tokenized every .gz file in the archive and made a boolean Numpy array of each tokens that was present at least once. This allowed me to quickly identify infrequent tokens in the dataset and pull up the textual context with regular expressions. If there was an issue with overlap, I used a tokenizer-based extraction instead. All data/code available upon request.
The leftmost column is token id, the middle is the token string, and the right column is # of files the token was present in (out of 20610). GPT2 has 50256 total tokens.
GPT2 tokens with the lowest frequency in OpenWebText
30898 'embedreportprint' 0 33434 ' 士' 0 43453 ' SolidGoldMagikarp' 0 1849 '\xa0' 0 47654 ' \xa0\xa0' 0 50009 ' strutConnector' 0 36173 ' RandomRedditor' 0 214 '\x1a' 0 42424 'DragonMagazine' 0 180 ' ' 0 187 ' ' 0 186 ' ' 0 30213 ' externalToEVAOnly' 0 30212 ' externalToEVA' 0 30211 ' guiIcon' 0 185 ' ' 0 30210 ' guiActiveUnfocused' 0 30209 ' unfocusedRange' 0 184 ' ' 0 30202 ' guiName' 0 183 ' ' 0 30905 'rawdownload' 0 39906 'EStream' 0 33454 '龍喚士' 0 42586 ' srfN' 0 25992 ' 裏覚醒' 0 43065 '
srfAttach' 0 11504 ' \xa0 \xa0' 0 39172 '\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0' 0 40240 'oreAndOnline' 0 40241 'InstoreAndOnline' 0 33477 '\xa0\xa0\xa0' 0 36174 ' RandomRedditorWithNo' 0 37574 'StreamerBot' 0 46600 ' Adinida' 0 182 ' ' 0 29372 ' guiActiveUn' 0 43177 'EStreamFrame' 0 22686 ' \xa0 \xa0 \xa0 \xa0' 0 23282 ' davidjl' 0 47571 ' DevOnline' 0 39752 'quickShip' 0 44320 '\n\xa0' 0 8828 '\xa0\xa0\xa0\xa0' 0 39820 '龍 ' 0 39821 '龍契士' 0 28666 'PsyNetMessage' 0 35207
' attRot' 0 181 ' ' 0 18472 ' guiActive' 0 179 ' ' 0 17811 '\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0' 0 20174 ' 裏 ' 0 212 '\x18' 0 211 '\x17' 0 210 '\x16' 0 209 '\x15' 0 208 '\x14' 0 31666 '?????-?????-' 0 207 '\x13' 0 206 '\x12' 0 213 '\x19' 0 205 '\x11' 0 203 '\x0f' 0 202 '\x0e' 0 31957 'cffffcc' 0 200 '\x0c' 0 199 '\x0b' 0 197 '\t' 0 196 '\x08' 0 195 '\x07' 0 194 '\x06' 0 193 '\x05' 0 204 '\x10' 0 45545 ' サーティワン' 0 201 '\r' 0 216 '\x1c' 0 37842 ' partName' 0 45706 ' \xa0 \xa0 \xa0 \xa0 \xa0 \xa0 \xa0
\xa0' 0 124 ' ' 0 125 ' ' 0 178 ' ' 0 41380 'natureconservancy' 0 41383 'assetsadobe' 0 177 ' ' 0 215 '\x1b' 0 41551 'Downloadha' 0 4603 '\xa0\xa0' 0 42202 'GoldMagikarp' 0 42089 ' TheNitrome' 0 217 '\x1d' 0 218 '\x1e' 0 42090 ' TheNitromeFan' 0 192 '\x04' 0 191 '\x03' 0 219 '\x1f' 0 189 '\x01' 0 45544 ' サーティ' 0 5624 ' \xa0' 0 190 '\x02' 0 40242 'BuyableInstoreAndOnline' 1 36935 ' dstg' 1 36940 ' istg' 1 45003 ' SetTextColor' 1 30897 'reportprint' 1 39757 'channelAvailability' 1 39756
'inventoryQuantity' 1 39755 'isSpecialOrderable' 1 39811 'soDeliveryDate' 1 39753 'quickShipAvailable' 1 39714 'isSpecial' 1 47198 'ItemTracker' 1 17900 ' Dragonbound' 1 45392 'dayName' 1 37579 'TPPStreamerBot' 1 31573 'ActionCode' 2 25193 'NetMessage' 2 39749 'DeliveryDate' 2 30208 ' externalTo' 2 43569 'ÍÍ' 2 34027 ' actionGroup' 2 34504 ' 裏 ' 2 39446 ' SetFontSize' 2 30899 'cloneembedreportprint' 2 32047 ' "$:/' 3 39803 'soType' 3 39177 'ItemThumbnailImage' 3 49781 'EngineDebug' 3 25658
'?????-' 3 33813 '=~=~' 3 48396 'ÛÛ' 3 34206 ...
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1851 episoder

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Innehåll tillhandahållet av The Nonlinear Fund. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av The Nonlinear Fund eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
Link to original article
Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Glitch Token Catalog - (Almost) a Full Clear, published by Lao Mein on September 22, 2024 on LessWrong.
This is a collection of every unidentified GPT2 glitch token listed in the third glitch token archaeology post. I was able to find the source of every single one, except for "?????-" and "?????-?????-"[1]. Please tell me if I missed one, or you've discovered one and don't understand where it came from. This isn't meant to be a well-written analysis, just a quick repository of my glitch-hunting observations.
I plan on writing up and categorizing all of these in greater detail in future posts. The first of which is here.
I used OpenWebText, a recreation of GPT2's training data, for all experiments in this post. I tokenized every .gz file in the archive and made a boolean Numpy array of each tokens that was present at least once. This allowed me to quickly identify infrequent tokens in the dataset and pull up the textual context with regular expressions. If there was an issue with overlap, I used a tokenizer-based extraction instead. All data/code available upon request.
The leftmost column is token id, the middle is the token string, and the right column is # of files the token was present in (out of 20610). GPT2 has 50256 total tokens.
GPT2 tokens with the lowest frequency in OpenWebText
30898 'embedreportprint' 0 33434 ' 士' 0 43453 ' SolidGoldMagikarp' 0 1849 '\xa0' 0 47654 ' \xa0\xa0' 0 50009 ' strutConnector' 0 36173 ' RandomRedditor' 0 214 '\x1a' 0 42424 'DragonMagazine' 0 180 ' ' 0 187 ' ' 0 186 ' ' 0 30213 ' externalToEVAOnly' 0 30212 ' externalToEVA' 0 30211 ' guiIcon' 0 185 ' ' 0 30210 ' guiActiveUnfocused' 0 30209 ' unfocusedRange' 0 184 ' ' 0 30202 ' guiName' 0 183 ' ' 0 30905 'rawdownload' 0 39906 'EStream' 0 33454 '龍喚士' 0 42586 ' srfN' 0 25992 ' 裏覚醒' 0 43065 '
srfAttach' 0 11504 ' \xa0 \xa0' 0 39172 '\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0' 0 40240 'oreAndOnline' 0 40241 'InstoreAndOnline' 0 33477 '\xa0\xa0\xa0' 0 36174 ' RandomRedditorWithNo' 0 37574 'StreamerBot' 0 46600 ' Adinida' 0 182 ' ' 0 29372 ' guiActiveUn' 0 43177 'EStreamFrame' 0 22686 ' \xa0 \xa0 \xa0 \xa0' 0 23282 ' davidjl' 0 47571 ' DevOnline' 0 39752 'quickShip' 0 44320 '\n\xa0' 0 8828 '\xa0\xa0\xa0\xa0' 0 39820 '龍 ' 0 39821 '龍契士' 0 28666 'PsyNetMessage' 0 35207
' attRot' 0 181 ' ' 0 18472 ' guiActive' 0 179 ' ' 0 17811 '\xa0\xa0\xa0\xa0\xa0\xa0\xa0\xa0' 0 20174 ' 裏 ' 0 212 '\x18' 0 211 '\x17' 0 210 '\x16' 0 209 '\x15' 0 208 '\x14' 0 31666 '?????-?????-' 0 207 '\x13' 0 206 '\x12' 0 213 '\x19' 0 205 '\x11' 0 203 '\x0f' 0 202 '\x0e' 0 31957 'cffffcc' 0 200 '\x0c' 0 199 '\x0b' 0 197 '\t' 0 196 '\x08' 0 195 '\x07' 0 194 '\x06' 0 193 '\x05' 0 204 '\x10' 0 45545 ' サーティワン' 0 201 '\r' 0 216 '\x1c' 0 37842 ' partName' 0 45706 ' \xa0 \xa0 \xa0 \xa0 \xa0 \xa0 \xa0
\xa0' 0 124 ' ' 0 125 ' ' 0 178 ' ' 0 41380 'natureconservancy' 0 41383 'assetsadobe' 0 177 ' ' 0 215 '\x1b' 0 41551 'Downloadha' 0 4603 '\xa0\xa0' 0 42202 'GoldMagikarp' 0 42089 ' TheNitrome' 0 217 '\x1d' 0 218 '\x1e' 0 42090 ' TheNitromeFan' 0 192 '\x04' 0 191 '\x03' 0 219 '\x1f' 0 189 '\x01' 0 45544 ' サーティ' 0 5624 ' \xa0' 0 190 '\x02' 0 40242 'BuyableInstoreAndOnline' 1 36935 ' dstg' 1 36940 ' istg' 1 45003 ' SetTextColor' 1 30897 'reportprint' 1 39757 'channelAvailability' 1 39756
'inventoryQuantity' 1 39755 'isSpecialOrderable' 1 39811 'soDeliveryDate' 1 39753 'quickShipAvailable' 1 39714 'isSpecial' 1 47198 'ItemTracker' 1 17900 ' Dragonbound' 1 45392 'dayName' 1 37579 'TPPStreamerBot' 1 31573 'ActionCode' 2 25193 'NetMessage' 2 39749 'DeliveryDate' 2 30208 ' externalTo' 2 43569 'ÍÍ' 2 34027 ' actionGroup' 2 34504 ' 裏 ' 2 39446 ' SetFontSize' 2 30899 'cloneembedreportprint' 2 32047 ' "$:/' 3 39803 'soType' 3 39177 'ItemThumbnailImage' 3 49781 'EngineDebug' 3 25658
'?????-' 3 33813 '=~=~' 3 48396 'ÛÛ' 3 34206 ...
  continue reading

1851 episoder

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