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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. 4134
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    INDEX
    Explanations

    dates or historical events

    oai_token-act-pair · gpt-3.5-turbo

    sequences of numbers and symbols related to dates and statistics

    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
    vertisement
    -0.66
     reconc
    -0.63
     scram
    -0.61
     Sik
    -0.61
     tack
    -0.58
     hypoc
    -0.58
     Argon
    -0.57
     rag
    -0.57
     fuse
    -0.57
     citiz
    -0.56
    POSITIVE LOGITS
    Reviewed
    0.80
    Conclusion
    0.77
    Bonus
    0.74
    Advertisements
    0.71
    CONCLUS
    0.71
    catentry
    0.69
     largeDownload
    0.69
    ================================================================
    0.69
    VII
    0.68
    Total
    0.67
    Activations Density 0.070%

    No Known Activations