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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. 2-RES-JB
    6. 20345
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    Explanations

    numbers and measurements related terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fig" and its variations, indicating a focus on numeric data presented in figure format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QUI
    -0.75
     purity
    -0.69
     Ces
    -0.66
     foul
    -0.62
     Gos
    -0.62
     Rating
    -0.62
     Wake
    -0.61
     Scotch
    -0.61
    CHAT
    -0.61
    keyes
    -0.60
    POSITIVE LOGITS
    uration
    1.19
    fig
    1.06
    lisher
    0.99
    lio
    0.94
    ãĥ¯
    0.93
    figure
    0.92
    thora
    0.90
    urations
    0.90
    roup
    0.88
    roups
    0.87
    Activations Density 0.017%

    No Known Activations