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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 2698
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    Explanations

    mentions of sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    names of people and their roles or associations in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     aver
    -0.69
     oneself
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    utterstock
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     ®
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    FIG
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    ="#
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    NOW
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    ****************
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    Ľ
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    cknowled
    -0.60
    POSITIVE LOGITS
     ['
    1.03
     [
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     fuckin
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     helicop
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     âĢ¦"
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     ..."
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    asketball
    0.85
    laughs
    0.79
     [(
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    )."
    0.77
    Activations Density 0.911%

    No Known Activations