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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21325
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    names of notable figures or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     withd
    -0.58
     lik
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     cred
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     answ
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    ":"/
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     rather
    -0.54
     appre
    -0.54
     itself
    -0.54
    Ö¼
    -0.53
     situ
    -0.53
    POSITIVE LOGITS
     etc
    0.88
    ĪĴ
    0.86
     &
    0.74
    â̦)
    0.74
    etc
    0.70
    ,...
    0.70
     Together
    0.67
    Together
    0.66
    ...)
    0.65
     Sisters
    0.63
    Activations Density 0.236%

    No Known Activations