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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. 8-RES-JB
    11. 488
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    INDEX
    Explanations

    numbers combined with time-related keywords

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of time stamps or times mentioned in a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iannopoulos
    -0.81
    SPONSORED
    -0.77
    Davis
    -0.73
    picked
    -0.71
    BIP
    -0.70
    usted
    -0.69
    deal
    -0.68
    erity
    -0.67
    anes
    -0.67
    Ä
    -0.67
    POSITIVE LOGITS
     Miscellaneous
    0.88
     Ibid
    0.83
     Conclusion
    0.80
     Paras
    0.74
     Utilities
    0.73
     TOTAL
    0.73
     Telephone
    0.72
     Ey
    0.71
     Various
    0.70
     Taxi
    0.69
    Activations Density 0.271%

    No Known Activations