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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. 2-RES-JB
    11. 8192
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Nep
    -0.70
     lungs
    -0.69
     Halls
    -0.69
     Rollins
    -0.65
     Lighting
    -0.62
     Kens
    -0.62
     Oaks
    -0.60
     Kush
    -0.60
     ashes
    -0.59
     Yin
    -0.59
    POSITIVE LOGITS
    natureconservancy
    0.87
    ancial
    0.80
    ynt
    0.79
    RET
    0.79
    ":["
    0.77
    staking
    0.76
    echo
    0.76
    hare
    0.75
    advertisement
    0.75
    gee
    0.74
    Activations Density 0.000%

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