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    3. Gemma-3-12B
    5. 31-GEMMASCOPE-2-RES-16K
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    The main thing this neuron does is detect words describing violent impacts, collisions, or injuries (e.g. struck, shot, knocked down, hospital, injuries).

    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
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    Negative Logits
     hinsichtlich
    0.63
     Throughout
    0.57
     especially
    0.57
     throughout
    0.56
    对于
    0.54
     maupun
    0.53
     அனுமதிக்க
    0.53
    especially
    0.51
     odpowied
    0.51
    對於
    0.51
    POSITIVE LOGITS
     недалеко
    0.70
     near
    0.70
    near
    0.65
    leaving
    0.64
     leaving
    0.61
     sparking
    0.60
     смерть
    0.59
     कथित
    0.59
     nahe
    0.57
     vermutlich
    0.56
    Activations Density 0.183%

    No Known Activations