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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 0-RES-JB
    11. 6803
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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
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    Negative Logits
     Phi
    -0.82
     Shak
    -0.77
     Afric
    -0.73
    krit
    -0.72
     Snyder
    -0.68
     Lauder
    -0.68
     Taj
    -0.67
     Aval
    -0.67
     Pavilion
    -0.67
     Saras
    -0.66
    POSITIVE LOGITS
    bre
    0.68
    mys
    0.64
    omination
    0.62
    otaur
    0.61
     garn
    0.61
    ophe
    0.61
     intimidated
    0.61
    owing
    0.59
    ication
    0.59
    mr
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.