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    universities and cities

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

    This neuron detects mentions of specific entities and key factual terms—especially proper names (teams, people), dates/season references, and event labels—in sports‐style summaries.

    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
    Роз
    0.66
     изготов
    0.59
     gemstone
    0.57
    餐饮
    0.55
    Figure
    0.54
    Cela
    0.54
     свето
    0.54
     건물
    0.54
    ንዳ
    0.53
    Limite
    0.53
    POSITIVE LOGITS
     Toronto
    1.20
     Cincinnati
    1.11
     Bournemouth
    1.09
     Southampton
    1.09
     Pittsburgh
    1.08
     Liverpool
    1.05
     UCLA
    1.03
     Harvard
    1.02
     Swansea
    1.01
     Miami
    1.00
    Activations Density 0.485%

    No Known Activations