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    **lists**- `TOP_POSITIVE_LOGITS`: `=`, `<`, `אן`, `inferences`, `shade`, `*$`, `しの`, `*`, `vitamins`, `רית`- `TOP_ACTIVATING_TEXTS`: - "off is September 2021, so I don't have information on events after that date." - "Summarization: I can summarize text," - "Drink a large glass of water right now. Keep a water bottle with you and sip throughout the day. * Move Around: Even a 5-10 minute walk can boost circulation and alertness. Stretch, do some" - "promoting free trade agreements (though this has become more nuanced recently with some Republicans favoring protectionist measures).I am unable to provide an explanation as the input is missing the `<MAX_ACTIVATING_TOKENS>` and `<TOKENS_AFTER_MAX_ACTIVATING_TOKEN>` sections, which are crucial for identifying specific token patterns. Without these, I cannot accurately determine the neuron's behavior

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
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    google/gemma-scope-2-12b-it/resid_post/layer_24_width_16k_l0_medium
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     선보
    0.56
     financiación
    0.53
     fokus
    0.52
     추진
    0.52
     Focus
    0.50
     Talks
    0.50
     Fokus
    0.49
     Fundação
    0.49
     выращи
    0.49
     revamp
    0.49
    POSITIVE LOGITS
     `=`,
    0.60
     `<`,
    0.56
    אן
    0.50
     inferences
    0.48
    shade
    0.46
     *$
    0.46
    しの
    0.45
     *,
    0.45
     vitamins
    0.45
    רית
    0.44
    Activations Density 0.215%

    No Known Activations