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เนื้อหาจัดทำโดย The Nonlinear Fund เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก The Nonlinear Fund หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
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LW - Glitch Token Catalog - (Almost) a Full Clear by Lao Mein

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เนื้อหาจัดทำโดย The Nonlinear Fund เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก The Nonlinear Fund หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.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 ตอน

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Manage episode 441235783 series 3337129
เนื้อหาจัดทำโดย The Nonlinear Fund เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก The Nonlinear Fund หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.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 ...
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1851 ตอน

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