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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. 1-RES-JB
    6. 11004
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.74
    helle
    -0.67
    osate
    -0.65
    tracks
    -0.64
    aza
    -0.64
     iss
    -0.63
    ounter
    -0.63
    alogy
    -0.63
    scar
    -0.63
     curs
    -0.62
    POSITIVE LOGITS
     Pompe
    0.80
    MENTS
    0.72
     Salv
    0.66
     Grade
    0.66
     Owen
    0.65
     Buildings
    0.65
     Finch
    0.63
     Cummings
    0.62
     London
    0.62
     Bean
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.