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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. 3-RES-JB
    11. 17183
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    zona
    -0.68
     bulbs
    -0.68
    pill
    -0.66
    ggles
    -0.66
     Leaves
    -0.64
    rays
    -0.63
     Plants
    -0.63
    idon
    -0.63
    zon
    -0.62
     leaks
    -0.62
    POSITIVE LOGITS
    iate
    0.77
     Citation
    0.70
    iated
    0.67
     rapport
    0.66
     journey
    0.62
    sed
    0.60
     engagement
    0.59
    =>
    0.59
    "[
    0.58
    olved
    0.58
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.