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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. 2-RES-JB
    11. 558
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    orah
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    zos
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    intosh
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    mark
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     Advantage
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    emis
    -0.62
    front
    -0.62
    true
    -0.61
    æµ
    -0.59
     Haw
    -0.59
    POSITIVE LOGITS
    izoph
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     cumbers
    0.73
    idates
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    ciating
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    accompan
    0.70
     nomine
    0.68
    ADVERTISEMENT
    0.66
     fateful
    0.66
    ovie
    0.63
     carbohyd
    0.62
    Activations Density 0.000%

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