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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. 1854
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    Explanations

    text related to numbers, statistics, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or significant quantities related to various topics

    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
     Conclusion
    -0.72
     Approach
    -0.71
     Rampage
    -0.68
     Silence
    -0.67
     Apocalypse
    -0.67
     Dispatch
    -0.66
     rapport
    -0.63
     Narr
    -0.63
     Whip
    -0.62
     Efficiency
    -0.62
    POSITIVE LOGITS
     acres
    0.93
     worldwide
    0.93
     annually
    0.90
     crammed
    0.85
     illegally
    0.83
     devote
    0.81
     gallons
    0.80
     perished
    0.79
    illion
    0.77
    pees
    0.76
    Activations Density 0.412%

    No Known Activations