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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. 11-RES-JB
    11. 12486
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    INDEX
    Explanations

    words related to specific individuals or organizations, potentially in a historical or political context

    oai_token-act-pair · gpt-3.5-turbo

    names and terms associated with specific individuals or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.77
    enment
    -0.71
    rency
    -0.70
    ãĥ¼ãĥĨ
    -0.63
    TOP
    -0.60
     Columb
    -0.60
    ãĥ¢
    -0.55
    fitting
    -0.55
    Contents
    -0.54
     corrective
    -0.54
    POSITIVE LOGITS
    oslav
    1.03
    akov
    0.86
    abytes
    0.82
    kees
    0.77
    axis
    0.76
    ovych
    0.76
    gm
    0.73
    eny
    0.71
    oub
    0.70
    Comb
    0.70
    Activations Density 0.081%

    No Known Activations