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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. 3-RES-JB
    11. 9743
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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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    No Comments

    Negative Logits
    ?).
    -0.74
    ences
    -0.68
     Myster
    -0.68
    ailand
    -0.62
    ework
    -0.61
     Kron
    -0.60
    ï¸ı
    -0.60
    blocks
    -0.60
    kens
    -0.59
    disk
    -0.59
    POSITIVE LOGITS
    agon
    0.71
    apolis
    0.69
    TextColor
    0.67
    ashtra
    0.62
     colon
    0.62
    DEN
    0.61
    appropriate
    0.61
     literal
    0.61
    aimon
    0.60
     prolifer
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.