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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. 391
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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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    Negative Logits
    mble
    -0.81
    xual
    -0.80
    pherd
    -0.80
    rection
    -0.77
    oteric
    -0.75
     maj
    -0.75
    ²¾
    -0.72
    ibrary
    -0.72
    hyde
    -0.72
    ription
    -0.70
    POSITIVE LOGITS
    Sov
    0.71
    DEM
    0.67
     Tanz
    0.66
     Cosponsors
    0.63
    SQL
    0.63
     Cars
    0.63
     Daly
    0.62
     SHAR
    0.61
    Stretch
    0.61
     Moss
    0.60
    Activations Density 0.000%

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