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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. 4-RES-JB
    11. 4354
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    Explanations

    references to specific names, possibly associated with businesses or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, specifically individuals and organizations

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

    No Comments

    Negative Logits
    draw
    -0.86
    friend
    -0.81
    irc
    -0.79
    manship
    -0.79
    rish
    -0.78
    acters
    -0.77
    manent
    -0.76
    raltar
    -0.75
    hene
    -0.75
    atchewan
    -0.74
    POSITIVE LOGITS
     gearing
    0.85
    iless
    0.85
     Seller
    0.78
     GOODMAN
    0.76
     Lerner
    0.73
     atmosp
    0.72
     disperse
    0.71
    iffs
    0.69
     Loll
    0.68
    ucci
    0.68
    Activations Density 0.019%

    No Known Activations