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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. 0-RES-JB
    6. 33
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Franch
    -0.67
    geoning
    -0.65
    ista
    -0.64
    igree
    -0.63
    poons
    -0.62
     Investment
    -0.62
    erville
    -0.61
    oman
    -0.59
    ibaba
    -0.59
    bernatorial
    -0.59
    POSITIVE LOGITS
    peak
    0.71
    translation
    0.70
    aber
    0.70
    gow
    0.65
    gy
    0.65
    sense
    0.64
    skirts
    0.63
    gged
    0.62
    history
    0.61
    )--
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.