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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. 9-RES-JB
    6. 9591
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    INDEX
    Explanations

    keywords related to decision-making and choices

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "choice" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    steen
    -0.82
    issance
    -0.77
    sburg
    -0.69
    awar
    -0.69
    amia
    -0.68
    wig
    -0.67
    zona
    -0.66
    peria
    -0.66
    uman
    -0.64
    older
    -0.64
    POSITIVE LOGITS
     choices
    0.92
    axe
    0.85
     captcha
    0.80
     choice
    0.78
     between
    0.74
    é¾įå¥ij士
    0.73
    esson
    0.69
    ensical
    0.68
     options
    0.67
     axe
    0.66
    Activations Density 0.048%

    No Known Activations