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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. 4-RES-JB
    11. 4179
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    INDEX
    Explanations
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    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    eele
    -0.65
     confir
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    rals
    -0.63
    ça
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     GE
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     bonded
    -0.62
    FR
    -0.62
    classes
    -0.61
    BI
    -0.61
    ç
    -0.60
    POSITIVE LOGITS
     Antioch
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     sweat
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     Phar
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     piety
    0.63
     mete
    0.63
     entrepreneurship
    0.62
     Shap
    0.61
    amy
    0.61
     antic
    0.61
    ipop
    0.60
    Activations Density 0.000%

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