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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. 3-RES-JB
    6. 1601
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    kinson
    -0.87
    bons
    -0.78
    76561
    -0.70
    aeda
    -0.69
    ry
    -0.68
     Salv
    -0.65
    illus
    -0.65
    channelAvailability
    -0.64
    driver
    -0.64
    zai
    -0.63
    POSITIVE LOGITS
     faded
    0.69
     fade
    0.69
     Doodle
    0.68
     bask
    0.67
     retreated
    0.63
     occup
    0.61
     digs
    0.61
    Anne
    0.61
    redo
    0.60
     dig
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.