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    Explanations

    the word "Hawthorne."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Hawthorn" and its variations

    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
    senal
    -0.90
    ividual
    -0.88
    berman
    -0.82
    berus
    -0.78
    icate
    -0.74
    rations
    -0.74
    icable
    -0.74
    uyomi
    -0.72
    munition
    -0.72
    acea
    -0.71
    POSITIVE LOGITS
    orne
    1.04
    awks
    0.98
     Hawth
    0.98
    orns
    0.93
    IELD
    0.91
    haw
    0.88
    wood
    0.88
    aii
    0.85
    Haw
    0.83
    awk
    0.80
    Activations Density 0.014%

    No Known Activations