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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. 21900
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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
     Scientology
    -0.86
     Scient
    -0.75
     Horses
    -0.71
    erion
    -0.71
    —"
    -0.66
    yond
    -0.65
     Furious
    -0.63
    ARDS
    -0.62
     Encounter
    -0.61
     Zionism
    -0.61
    POSITIVE LOGITS
    rito
    0.74
    rio
    0.72
    airo
    0.70
    ADRA
    0.67
    osh
    0.67
    JV
    0.66
    ibur
    0.66
    sal
    0.65
    orsche
    0.65
    ounty
    0.65
    Activations Density 0.000%

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