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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. 12707
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    Explanations

    references to a specific word, "Ace"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly those named "Ace" and "Lance"

    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
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.93
    merce
    -0.83
    nih
    -0.82
    ifact
    -0.81
    atem
    -0.80
    undai
    -0.79
    ained
    -0.78
    asty
    -0.77
    icism
    -0.76
    pmwiki
    -0.76
    POSITIVE LOGITS
    vich
    0.94
    llan
    0.86
    vine
    0.79
    holder
    0.79
    lot
    0.78
     Daniels
    0.77
    xit
    0.76
    fast
    0.73
    lla
    0.72
    hold
    0.71
    Activations Density 0.073%

    No Known Activations