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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. 9279
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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
    rontal
    -0.74
     psychiat
    -0.70
    Military
    -0.65
    REM
    -0.62
     Corpus
    -0.61
    Fort
    -0.60
    rast
    -0.60
    SPA
    -0.60
    SOURCE
    -0.59
    quished
    -0.59
    POSITIVE LOGITS
    enegger
    0.88
    arium
    0.72
    oran
    0.70
     Stard
    0.66
    ËĪ
    0.66
    owship
    0.66
     Manz
    0.65
     Bucket
    0.64
    ement
    0.64
     <+
    0.63
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.