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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. 4961
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    Explanations

    physical descriptions of people, including details like height, weight, hair color, and eye color

    oai_token-act-pair · gpt-3.5-turbo

    physical descriptions of individuals, including their height, weight, and appearance

    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
    lished
    -0.71
    xit
    -0.70
    livion
    -0.69
    erve
    -0.65
     substitutes
    -0.65
     cease
    -0.65
    itors
    -0.65
    fters
    -0.63
    topia
    -0.62
    isman
    -0.61
    POSITIVE LOGITS
     Caucasian
    1.25
    Hispanic
    1.09
     blond
    0.99
     Hispanic
    0.98
     Caucas
    0.95
     bearded
    0.94
     complexion
    0.93
    aucas
    0.90
     gray
    0.90
     wearing
    0.88
    Activations Density 0.235%

    No Known Activations