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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. 4-RES-JB
    11. 15581
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    Explanations

    descriptions or mentions of squatting and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to squats and squat-related exercises

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

    No Comments

    Negative Logits
     bonding
    -0.71
    Adv
    -0.66
    displayText
    -0.66
    NetMessage
    -0.65
     Bond
    -0.64
     Archdemon
    -0.64
     Romance
    -0.63
     Preferred
    -0.62
     Spending
    -0.62
    umn
    -0.61
    POSITIVE LOGITS
     squat
    0.94
     squats
    0.90
    cheon
    0.88
    stairs
    0.86
    yip
    0.83
    chet
    0.80
    ting
    0.79
    neck
    0.77
    lift
    0.76
    etsk
    0.76
    Activations Density 0.007%

    No Known Activations