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    2. Gemma-3-12B
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    obstacles and distances

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

    This neuron responds to tokens inside prepositional/adverbial phrases (e.g. “to park the scooters at bike racks,” “crashes while on the way,” “rush hour”).

    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
     Bücher
    0.83
     Biochem
    0.75
     monographs
    0.69
    襖
    0.69
     المكتب
    0.68
     Biochemistry
    0.68
     Akademie
    0.68
     Bibliothèque
    0.68
     MARKETING
    0.67
     Inorg
    0.67
    POSITIVE LOGITS
     motorist
    2.53
     motorists
    2.45
     traffic
    2.39
     roadway
    2.39
     pedestrians
    2.23
    traffic
    2.17
    Traffic
    2.16
     roadways
    2.16
     vehicular
    2.14
    车辆
    2.13
    Activations Density 1.946%

    No Known Activations