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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. 10138
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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
    han
    -0.76
    ORT
    -0.71
    ŃĶ
    -0.68
    hower
    -0.66
    eper
    -0.63
     transmitted
    -0.62
     PID
    -0.62
    £
    -0.61
    ENC
    -0.61
     ultras
    -0.61
    POSITIVE LOGITS
     where
    1.00
    where
    0.98
    ibaba
    0.91
    holders
    0.83
    spot
    0.81
    plates
    0.77
    atche
    0.76
    acebook
    0.76
    orld
    0.74
    uation
    0.72
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.