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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. 1-RES-JB
    11. 3931
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oqu
    -0.71
    rogram
    -0.71
    mson
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     Sheldon
    -0.70
    RAL
    -0.69
    advertisement
    -0.68
    ioxide
    -0.68
    vich
    -0.66
    assador
    -0.65
    vernment
    -0.64
    POSITIVE LOGITS
     lapt
    0.75
     confessions
    0.70
     belongs
    0.68
     comr
    0.68
     persever
    0.68
     confir
    0.66
     tendencies
    0.65
    Relations
    0.64
     chops
    0.62
     exceed
    0.62
    Activations Density 0.000%

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