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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. 0-RES-JB
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    Explanations

    the word "Sen" or "Senator" in a political context

    oai_token-act-pair · gpt-3.5-turbo

    references to senators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izzle
    -0.74
    eering
    -0.74
    display
    -0.62
    cation
    -0.62
    ambling
    -0.62
    ordon
    -0.62
    ilst
    -0.60
    hunt
    -0.60
    xual
    -0.60
     catalogue
    -0.60
    POSITIVE LOGITS
     Sen
    3.67
    Sen
    2.89
     Senator
    2.09
     senator
    2.06
     Rep
    1.97
     senators
    1.80
    Senator
    1.80
     SEN
    1.71
     Senate
    1.68
     Senators
    1.68
    Activations Density 0.017%

    No Known Activations