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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. 4894
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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
    INTON
    -0.77
    FactoryReloaded
    -0.68
    Prior
    -0.63
    Definition
    -0.62
     Welfare
    -0.61
    VC
    -0.61
     Reprodu
    -0.61
     AIDS
    -0.61
    inav
    -0.61
    Except
    -0.60
    POSITIVE LOGITS
    isky
    0.69
    atsuki
    0.67
    uffle
    0.65
     tradem
    0.63
    acebook
    0.61
    nered
    0.61
     Mellon
    0.61
    uckle
    0.61
    itud
    0.60
     Speedway
    0.60
    Activations Density 0.000%

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