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    african countries and wildlife

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

    The neuron strongly activates on common function words (e.g. “the,” “and,” “will”) and low­-information tokens, effectively detecting high-frequency stopwords rather than content 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
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    Negative Logits
     ví
    0.99
     ú
    0.92
     iç
    0.92
     lá
    0.92
    í
    0.89
     -
    0.88
    ená
    0.88
     né
    0.87
     vít
    0.86
     ç
    0.85
    POSITIVE LOGITS
    Zimbabwe
    1.52
     Raila
    1.44
     Афри
    1.43
    Kenya
    1.42
     Ruto
    1.41
     Zimbabwean
    1.41
     Kenyatta
    1.40
    Ghana
    1.38
     Mombasa
    1.38
     Tanzania
    1.34
    Activations Density 0.509%

    No Known Activations