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

    The neuron fires most strongly on tokens that look like names or abbreviations (proper nouns and acronyms), i.e. named‐entity–type 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
    No Configuration Found
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    Negative Logits
     nasal
    0.99
     RES
    0.90
     they
    0.87
     it
    0.86
     literally
    0.85
     UR
    0.84
     he
    0.83
     their
    0.83
     through
    0.82
     heading
    0.82
    POSITIVE LOGITS
     ప్రభు
    0.73
    ار
    0.73
     najlepiej
    0.72
    mény
    0.71
    须知
    0.71
    هن
    0.69
    brackets
    0.69
    mmss
    0.69
    جيل
    0.69
     absolue
    0.68
    Activations Density 0.000%

    No Known Activations