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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. 10-RES-JB
    11. 11595
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    Explanations

    common names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals' names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     td
    -0.76
    ¥µ
    -0.74
    bidden
    -0.74
    iminary
    -0.67
    iculty
    -0.66
    fecture
    -0.66
    mble
    -0.65
    hops
    -0.62
    pmwiki
    -0.61
    sites
    -0.60
    POSITIVE LOGITS
     Hardy
    0.81
     Wasserman
    0.81
     Cohen
    0.78
     Klein
    0.78
     Reed
    0.77
     Zimmer
    0.77
     Snyder
    0.77
     Wolfe
    0.76
     Kennedy
    0.76
     Buckley
    0.76
    Activations Density 0.252%

    No Known Activations