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Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
GPT2-Small
Residual Stream
10-RES-JB
24213
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10-res-jb
Source/SAE
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Explanations
phrases related to conflicts or confrontations
oai_token-act-pair · gpt-3.5-turbo
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concepts related to intervention, conflict, and societal issues
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-3-5-haiku-20241022
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Top Features by Cosine Similarity
Comparing With
GPT2-SMALL @ 10-res-jb
Configuration
jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
Skylion007/openwebtext
Features
24,576
Data Type
torch.float32
Hook Point
blocks.10.hook_resid_pre
Architecture
standard
Context Size
128
Dataset
Skylion007/openwebtext
Hook Point Layer
10
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gpt2-small/10-res-jb/24213?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gpt2-small/10-res-jb/24213?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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ĪĴ
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¡
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ĨĴ
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Ħ¢
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princ
-0.56
Tes
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teens
-0.53
ª
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Kemp
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°
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.(
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.#
0.76
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0.71
Act
ivations
Density 0.255%
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