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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. 3-RES-JB
    11. 5079
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Irish
    -0.79
    lik
    -0.75
    aredevil
    -0.73
    usp
    -0.73
    Georg
    -0.71
    nexus
    -0.70
    asus
    -0.70
    atchewan
    -0.69
    agate
    -0.69
    hatt
    -0.68
    POSITIVE LOGITS
    anship
    0.82
    cially
    0.67
    ischer
    0.65
    baugh
    0.63
    vered
    0.62
     guts
    0.60
     nets
    0.60
     referral
    0.59
     nutrient
    0.57
    ysis
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.