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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. 2-RES-JB
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    Explanations

    phrases related to extreme sports and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waterboarding and related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     McDonnell
    -0.64
     Lowe
    -0.63
    ively
    -0.63
     Stall
    -0.63
     Value
    -0.63
     Frey
    -0.62
     Romo
    -0.62
     Ezekiel
    -0.62
     Fiat
    -0.61
     Ezek
    -0.60
    POSITIVE LOGITS
    quished
    0.85
    boarding
    0.82
    avorite
    0.77
    Ń·
    0.77
    wana
    0.74
    ungle
    0.73
     enthusi
    0.71
    yip
    0.70
    allery
    0.70
    AME
    0.70
    Activations Density 0.023%

    No Known Activations