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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. 7341
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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
    acus
    -0.79
    stress
    -0.74
    atron
    -0.74
    quant
    -0.71
    cuts
    -0.71
    din
    -0.70
    mental
    -0.70
    endon
    -0.69
    uts
    -0.68
    ework
    -0.67
    POSITIVE LOGITS
     Mong
    0.72
    gery
    0.71
     Civic
    0.66
     regret
    0.63
    ELY
    0.63
    terday
    0.63
     Millennium
    0.62
    OY
    0.62
     Corinth
    0.61
     referral
    0.60
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.