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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. 7-RES-JB
    11. 9638
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     orchestr
    -0.68
     frontline
    -0.66
     dra
    -0.64
     bloc
    -0.64
     differential
    -0.64
     commission
    -0.64
     swe
    -0.63
     edged
    -0.62
     spir
    -0.61
     mandate
    -0.61
    POSITIVE LOGITS
    Advertisement
    1.51
    Advertisements
    1.35
    advertisement
    1.31
    Article
    1.29
    RAW
    1.26
    Conclusion
    1.24
    Another
    1.22
    Lastly
    1.22
    Besides
    1.21
    Meanwhile
    1.20
    Activations Density 0.644%

    No Known Activations