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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. 16788
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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
    abwe
    -0.89
    erto
    -0.79
     ante
    -0.75
    odo
    -0.71
    beit
    -0.70
    jri
    -0.70
    utherford
    -0.69
    enegger
    -0.69
    bestos
    -0.68
    iola
    -0.67
    POSITIVE LOGITS
    quart
    0.76
    Marginal
    0.74
    Russ
    0.68
    UTC
    0.66
    Minor
    0.66
    Unit
    0.65
    Me
    0.65
     Clicker
    0.64
    Beta
    0.63
    GEN
    0.63
    Activations Density 0.000%

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