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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. 3-RES-JB
    11. 9102
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    Explanations

    references to physical exercise movements, specifically focusing on squats

    oai_token-act-pair · gpt-3.5-turbo

    references to the exercise "squat."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    displayText
    -0.69
    ymes
    -0.65
     Archdemon
    -0.65
     Romance
    -0.65
    udic
    -0.62
    Adv
    -0.62
    ï¸ı
    -0.62
     Crimson
    -0.61
    NetMessage
    -0.61
     Bond
    -0.61
    POSITIVE LOGITS
     squat
    1.03
    stairs
    1.02
     squats
    0.95
    cheon
    0.84
    ting
    0.82
    ters
    0.79
    mers
    0.78
    hest
    0.78
    ulous
    0.77
    arious
    0.77
    Activations Density 0.007%

    No Known Activations