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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. 0-RES-JB
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    Explanations

    the word "ordinary" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "ordinary" people or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kappa
    -0.73
    ILA
    -0.67
    backer
    -0.67
    lund
    -0.62
    Link
    -0.61
    ayne
    -0.61
    rum
    -0.61
    Bio
    -0.60
    creen
    -0.60
     Diversity
    -0.59
    POSITIVE LOGITS
     ordinary
    3.76
    ordinary
    2.95
     everyday
    1.77
     normal
    1.69
     mundane
    1.53
     ordinarily
    1.34
     usual
    1.33
     conventional
    1.30
     regular
    1.28
    normal
    1.24
    Activations Density 0.011%

    No Known Activations