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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. 535
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    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    prominent individuals and references to champagne

    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
    kefeller
    -0.83
    oxin
    -0.82
    heed
    -0.80
    essential
    -0.73
    uran
    -0.73
    yip
    -0.73
    uador
    -0.71
    itude
    -0.70
    anmar
    -0.68
    MpServer
    -0.68
    POSITIVE LOGITS
    furt
    0.94
    ··
    0.75
    mast
    0.72
    bach
    0.71
    cision
    0.68
    clude
    0.68
     Mü
    0.67
    cised
    0.66
     Lutheran
    0.66
     SV
    0.66
    Activations Density 0.024%

    No Known Activations