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    These lists contain elements from Korean, Chinese, and Japanese languages, often functioning as grammatical particles or descriptors. The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` list includes words like "factors," "content," "view," "aspect," "model," "main," and "method."The pattern suggests the neuron is recognizing descriptors or particles commonly found in lists or enumerations across East Asian languages, often preceding explanatory terms like "factors," "content," or "aspects."Therefore, a good short explanation would be:East Asian descriptive particles before list items

    np_acts-logits-general · gemini-2.5-flash-lite
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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
    ة
    0.59
    的需求
    0.54
    由于
    0.52
    াগত
    0.50
    看着
    0.50
     odors
    0.49
    elected
    0.48
    ing
    0.47
    使用的
    0.46
    造成的
    0.46
    POSITIVE LOGITS
     것으로
    0.91
     것이
    0.89
     것도
    0.86
     것은
    0.85
    もので
    0.82
    ような
    0.79
    こと
    0.78
    ことは
    0.75
    ものです
    0.75
    場合は
    0.74
    Activations Density 0.002%

    No Known Activations