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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. 1-RES-JB
    11. 396
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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
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    No Comments

    Negative Logits
    kaya
    -0.83
    pai
    -0.82
    kus
    -0.78
    Desktop
    -0.72
    keyes
    -0.70
    ãĥīãĥ©
    -0.69
    ãĤĭ
    -0.69
    hra
    -0.68
    ovo
    -0.68
    ocument
    -0.68
    POSITIVE LOGITS
     relie
    0.78
     Phill
    0.74
     limb
    0.69
    phrine
    0.64
     tracts
    0.63
     candle
    0.63
     erect
    0.63
     Paige
    0.63
     Dale
    0.62
     appetite
    0.61
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.