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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. 9-RES-JB
    11. 106
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    Explanations

    names of individuals involved in different events or activities, possibly related to news articles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals in the context of events or incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CONCLUS
    -0.77
    Advertisements
    -0.72
    âĹ¼
    -0.71
    endif
    -0.71
    Conclusion
    -0.69
    notations
    -0.68
     chars
    -0.67
    Newsletter
    -0.65
    Whereas
    -0.64
    Explore
    -0.63
    POSITIVE LOGITS
    ique
    0.75
     Seah
    0.70
     Seaf
    0.66
    jamin
    0.66
     Bah
    0.63
     Liberty
    0.63
     Ply
    0.63
     Mesa
    0.63
     Frederick
    0.62
     Canaver
    0.62
    Activations Density 0.387%

    No Known Activations