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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. 1970
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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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    Negative Logits
     Matrix
    -0.68
    verified
    -0.67
    imedia
    -0.65
    idon
    -0.64
    maxwell
    -0.63
    earances
    -0.62
    endish
    -0.62
     Flavoring
    -0.61
     AV
    -0.61
     Correct
    -0.60
    POSITIVE LOGITS
    deen
    0.79
    zza
    0.76
    asca
    0.73
    gans
    0.69
     Skies
    0.68
    lihood
    0.68
    nia
    0.66
    \\\\
    0.66
    clone
    0.64
    Leaks
    0.64
    Activations Density 0.000%

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