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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. 9-RES-JB
    11. 4170
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    Explanations

    references to the name "Harry"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Harry."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.75
    PLA
    -0.73
    tical
    -0.69
    oute
    -0.66
    ocr
    -0.65
    ourced
    -0.65
    our
    -0.63
    asio
    -0.61
    awaru
    -0.61
    ations
    -0.60
    POSITIVE LOGITS
     Potter
    1.33
     Dresden
    0.95
     Styles
    0.93
    haus
    0.92
     Reid
    0.90
     Truman
    0.86
     Kane
    0.77
    STON
    0.76
    stones
    0.74
    XX
    0.70
    Activations Density 0.028%

    No Known Activations