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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. 17312
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    Explanations

    phrases related to business and financial matters

    oai_token-act-pair · gpt-3.5-turbo

    references to demand and supply dynamics in business contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    Negative Logits
    ~~~~
    -0.74
    cember
    -0.73
     negro
    -0.69
     Fasc
    -0.68
    !!!!
    -0.67
     Anniversary
    -0.66
     Yesterday
    -0.65
     ado
    -0.65
     masterpiece
    -0.65
     Conclusion
    -0.64
    POSITIVE LOGITS
     typically
    0.92
    typically
    0.89
     unregulated
    0.86
     disproportionately
    0.83
     pricey
    0.82
    expensive
    0.79
     inexpensive
    0.79
     routinely
    0.78
     cheaper
    0.78
     subsidized
    0.77
    Activations Density 1.042%

    No Known Activations