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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. 17200
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    Explanations

    phrases or terms representing key concepts or starting points within a discussion or narrative

    oai_token-act-pair · gpt-3.5-turbo

    references to key points in discussions or analyses

    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
    uthor
    -0.93
    RAW
    -0.79
    pload
    -0.77
    soDeliveryDate
    -0.72
     delinqu
    -0.71
    OOL
    -0.70
    ttle
    -0.68
    WIND
    -0.68
    acists
    -0.67
    aped
    -0.63
    POSITIVE LOGITS
    lessly
    0.94
    points
    0.79
    eters
    0.79
    imus
    0.76
     Reyes
    0.73
    pointers
    0.72
    point
    0.71
    ocrin
    0.70
    edly
    0.70
    ioned
    0.70
    Activations Density 0.041%

    No Known Activations