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

    The neuron fires on specialized, multi‐syllable content nouns or jargon across varied domains (e.g. medical (“resections,” “radiation”), environmental (“conservation,” “efficiency”), sports (“home run,” “homers”), traffic enforcement (“speeding,” “speed cameras”), consumer products (“lightweight,” “stroller”)), effectively flagging technical key-terms.

    oai_token-act-pair · o4-miniTriggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
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    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
     harmless
    0.77
     sundry
    0.75
     whitish
    0.71
     mildly
    0.71
     methylene
    0.70
     name
    0.70
     helium
    0.70
     assorted
    0.70
     momentarily
    0.68
     grayish
    0.67
    POSITIVE LOGITS
    优秀的
    0.86
     maximising
    0.82
    Luxury
    0.79
     maximise
    0.79
    极致
    0.79
    効率
    0.79
     спеціа
    0.78
    تميز
    0.78
    Optimize
    0.78
     музе
    0.77
    Activations Density 0.466%

    No Known Activations