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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. 4345
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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
     wounding
    -0.68
     prof
    -0.64
     arts
    -0.64
     stabbing
    -0.64
    DEBUG
    -0.63
     relaxation
    -0.62
     bystand
    -0.61
     prom
    -0.60
     fo
    -0.60
     lo
    -0.59
    POSITIVE LOGITS
    Registered
    0.77
    å§«
    0.75
    igible
    0.75
     Mov
    0.74
     Perkins
    0.74
    ilater
    0.73
    answer
    0.72
     Rowling
    0.71
    abwe
    0.70
     Granger
    0.70
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.