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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. 20177
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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
    ngth
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    udeb
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     Retrieved
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    å§
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    Eng
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    LECT
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    ciating
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    kef
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    raviolet
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    rome
    -0.63
    POSITIVE LOGITS
    ,
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    ,...
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    ,,
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    ,[
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    ,'
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    ',
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    Merit
    0.60
    keeper
    0.58
     disparities
    0.58
     displays
    0.58
    Activations Density 0.000%

    No Known Activations

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