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    Explanations

    academic writing and research, particularly the verb "have".

    oai_token-act-pair · gemini-2.0-flash

    have

    np_max-act · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_3/width_16k/average_l0_54
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
     have
    -1.17
     Have
    -0.92
    Have
    -0.88
    have
    -0.85
    <bos>
    -0.81
     HAVE
    -0.79
     has
    -0.76
     έχουν
    -0.64
     bave
    -0.61
     hanno
    -0.60
    POSITIVE LOGITS
    CloseOperation
    0.71
    iastes
    0.71
    atase
    0.60
    bolista
    0.60
    hyrchwyd
    0.57
    iserie
    0.57
    省市镇
    0.57
    itchfield
    0.57
     Racine
    0.56
    hila
    0.55
    Activations Density 0.550%

    No Known Activations