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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. 0-RES-JB
    11. 18211
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Rect
    -0.78
    ription
    -0.71
     Pul
    -0.68
    ãĥ¼ãĥĨ
    -0.67
     defic
    -0.67
    stro
    -0.66
     Samp
    -0.65
    rower
    -0.65
     Rosenstein
    -0.65
     Draper
    -0.64
    POSITIVE LOGITS
     [
    0.72
    arettes
    0.68
    Copyright
    0.64
    etus
    0.63
    bsite
    0.63
    OPA
    0.63
    Contents
    0.61
    FORE
    0.61
    HL
    0.61
    PET
    0.60
    Activations Density 0.000%

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