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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 21686
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    Explanations

    words related to performances or appearances

    oai_token-act-pair · gpt-3.5-turbo

    words related to awareness or attention in contexts discussing societal issues

    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
    amar
    -0.76
    rador
    -0.75
     forget
    -0.75
    onut
    -0.75
    ingen
    -0.73
    acca
    -0.71
    ocular
    -0.71
    odor
    -0.69
    GER
    -0.68
    REM
    -0.68
    POSITIVE LOGITS
    llor
    0.94
    ments
    0.94
    ment
    0.82
    ances
    0.81
    Ĥª
    0.79
    utical
    0.75
    utics
    0.73
    bringer
    0.72
    etus
    0.72
    ance
    0.71
    Activations Density 0.020%

    No Known Activations