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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. 1-RES-JB
    11. 8788
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    Explanations

    Japanese names

    oai_token-act-pair · gpt-3.5-turbo

    names and references to Japanese or East Asian individuals and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    grown
    -0.64
    FUL
    -0.64
     campus
    -0.63
     Haunted
    -0.63
     Dull
    -0.62
     miscarriage
    -0.62
     Appalach
    -0.61
    itent
    -0.61
     Lamar
    -0.61
     Lerner
    -0.60
    POSITIVE LOGITS
    atsu
    1.48
    etsu
    1.23
    aku
    0.99
    wana
    0.96
    ura
    0.94
    itsu
    0.92
    yip
    0.92
    oshi
    0.91
    omi
    0.90
    ya
    0.89
    Activations Density 0.010%

    No Known Activations