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    2. Gemma-3-27B-IT
    3. 31-GEMMASCOPE-2-TRANSCODER-262K
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    or and"}, "widespread", "generative", "semi", "explo", "synthesized", "low", "semi", "graphic", "affordable", "low")The MAX_ACTIVATING_TOKENS list is mostly "or" with one "and".The TOKENS_AFTER_MAX_ACTIVATING_TOKEN list contains diverse terms.Let's try to find a common theme or concept."or" and "and" are conjunctions.The words following them are quite varied: "widespread", "generative", "semi", "explo", "synthesized", "low", "graphic", "affordable".This seems like the neuron might activate when a conjunction is followed by descriptive or categorizing terms in the context of a list or enumeration of options/characteristics.Consider the structure:"X or Y""A and B"The words following "or" and "and" are quite different in meaning."widespread", "generative", "semi", "explo", "synthesized", "low", "graphic", "affordable".Let's look at the TOP_POSITIVE_LOGITS:かれて (Japanese)রাষ্ট্র (Bengali): (colon)જેમાં (Gujarati)ore (English prefix/suffix)ရ (Burmese)éri (French)qualitatively (English adverb)合适 (Chinese)روبل (Russian)These are very diverse, including foreign words, punctuation, and an English adverb.This suggests the neuron might be sensitive to the *structure* of lists or enumerations, rather than the specific semantic meaning of the words.The most prominent token in `MAX_ACTIVATING_TOKENS` is "or".The most prominent *types* of tokens following are diverse adjectives/descriptors.Let's re-read the instructions: "finding patterns in lists"."The explanation could be about tokens following or preceding certain tokens."conjunctions followed by descriptors

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2-27b-it/transcoder_all/layer_31_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
    No Configuration Found
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    Negative Logits
     любого
    0.28
     culprits
    0.28
     insidious
    0.27
     любую
    0.27
    𝙽
    0.27
    hall
    0.26
     কৃত
    0.26
    Bew
    0.25
     лежит
    0.25
    fasst
    0.24
    POSITIVE LOGITS
    かれて
    0.31
     রাষ্ট্র
    0.29
     :
    0.29
     જેમાં
    0.29
    ore
    0.28
    ရ
    0.28
    éri
    0.28
     qualitatively
    0.27
    合适
    0.27
     روبل
    0.27
    Activations Density 0.025%

    No Known Activations