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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    advancements in, input from

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

    The neuron fires on formal, high‐level content words—especially nominalized topic terms (e.g. “Consultation,” “Issues,” “Factors,” “Review,” “Solutions”) that typically appear as headings or key subject nouns in business or academic text.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    No Configuration Found
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    Negative Logits
     sebagainya
    0.84
     bunu
    0.80
     тоже
    0.79
    ."
    0.77
    '.
    0.73
    ។
    0.73
    .'
    0.71
    .”
    0.71
    ۔
    0.70
     ذریع
    0.70
    POSITIVE LOGITS
    ในการ
    1.17
    สำหรับการ
    1.05
    ក្នុងការ
    0.86
     עבור
    0.81
    สำหรับ
    0.77
    對於
    0.77
    对于
    0.75
     regarding
    0.73
    សម្រាប់ការ
    0.67
     beim
    0.66
    Activations Density 0.262%

    No Known Activations