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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. 2584
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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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    achev
    -0.84
    agall
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    gey
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    ettings
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    atti
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    apon
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     repud
    -0.66
    perature
    -0.65
     whirlwind
    -0.64
     condem
    -0.63
    POSITIVE LOGITS
     Highlands
    0.72
     Innov
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    SourceFile
    0.68
     roy
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     Duchess
    0.66
    _>
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     Borders
    0.66
    tnc
    0.66
     Shooter
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    senal
    0.61
    Activations Density 0.000%

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