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

    The neuron is highly sensitive to uncommon or “named” tokens—especially proper‐noun brand and place names (e.g. YouTube, Treviso, Hollywood)—marking those rare/distinctive words.

    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_24_width_16k_l0_medium
    Prompts (Dashboard)
    392,802 prompts, 256 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
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    Negative Logits
    ون
    0.94
    ان
    0.87
     Govt
    0.81
    ين
    0.80
    انا
    0.79
     FDI
    0.79
    اني
    0.77
     مدير
    0.77
     splitpos
    0.77
     hivyo
    0.76
    POSITIVE LOGITS
    торы
    0.78
     acuerdo
    0.75
     dará
    0.75
     беремен
    0.73
     zach
    0.73
    pera
    0.72
    irá
    0.72
    이자
    0.72
     fácil
    0.71
    backed
    0.71
    Activations Density 0.001%

    No Known Activations