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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. 6-RES-JB
    11. 662
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    Explanations

    dates and locations

    oai_token-act-pair · gpt-3.5-turbo

    numerical data related to locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     ET
    -0.76
     descendants
    -0.70
     compress
    -0.70
     Mub
    -0.69
     recogn
    -0.66
     equ
    -0.64
     authority
    -0.62
     swe
    -0.62
     Sense
    -0.61
     corpor
    -0.61
    POSITIVE LOGITS
    SPONSORED
    0.92
    milo
    0.90
    Finally
    0.84
    VII
    0.80
    Conclusion
    0.80
    Again
    0.76
    CHAPTER
    0.76
    γ
    0.76
    Next
    0.75
    GUI
    0.75
    Activations Density 0.132%

    No Known Activations