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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. 937
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    INDEX
    Explanations
    No Explanations Found
    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
    ikarp
    -0.70
    rug
    -0.69
    duc
    -0.68
    ascus
    -0.68
    nir
    -0.67
    rated
    -0.67
    itton
    -0.66
    Zip
    -0.66
    003
    -0.66
    atin
    -0.66
    POSITIVE LOGITS
     Babel
    0.69
    ettings
    0.67
     Spells
    0.67
    LINE
    0.67
     DATA
    0.63
    grave
    0.62
     Salary
    0.62
     ARTICLE
    0.61
     Idle
    0.61
     Children
    0.60
    Activations Density 0.000%

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