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    3. Gemma-2-27B
    5. 34-GEMMASCOPE-RES-131K
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    verbs followed by for

    np_acts-logits-general · gemini-2.5-flash-lite

    This neuron fires strongly on words that appear in headlines or section headings (e.g. titles like “What You Wish For” or “What to look for”).

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-27b-pt-res/layer_34/width_131k
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     implementar
    -0.75
     Moc
    -0.73
     ganglia
    -0.72
     to
    -0.72
     celebrar
    -0.69
     disminuir
    -0.69
    ‌ی
    -0.69
    agang
    -0.68
    doctrine
    -0.67
    amis
    -0.66
    POSITIVE LOGITS
    for
    1.45
    ofor
    1.20
     htmlFor
    1.13
     For
    1.04
     forage
    1.02
     for
    1.01
     FOR
    0.99
    FOR
    0.96
     foraging
    0.91
     forbearance
    0.91
    Activations Density 0.023%

    No Known Activations