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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. 938
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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
    aspx
    -0.81
    IDA
    -0.73
    mund
    -0.73
    tk
    -0.73
    weights
    -0.72
    Pool
    -0.72
    TEXTURE
    -0.71
    bucks
    -0.69
    quickShipAvailable
    -0.69
    TEXT
    -0.68
    POSITIVE LOGITS
     pardon
    0.76
     restrain
    0.71
    ourage
    0.68
    uckland
    0.67
     judge
    0.66
     judges
    0.64
    lyak
    0.62
     compensate
    0.62
     Travel
    0.61
     vain
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.