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    2. Gemma-3-27B-IT
    3. 31-GEMMASCOPE-2-TRANSCODER-262K
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    This is not a response I can generate currently. I need lists to analyze. Please provide the four lists: TOP_POSITIVE_LOGITS, TOP_ACTIVATING_TEXTS, MAX_ACTIVATING_TOKENS, and TOKENS_AFTER_MAX_ACTIVATING_TOKEN.Once you provide them, I will analyze them and give you the concise explanation of the neuron's behavior according to your rules.For example, if the lists showed:MAX_ACTIVATING_TOKENS: buy, sell, priceTOKENS_AFTER_MAX_ACTIVATING_TOKEN: it, for, ?TOP_POSITIVE_LOGITS: commerce, trade, marketTOP_ACTIVATING_TEXTS: "price for the item", "want to buy it", "selling it"I might respond with: "transaction or offer details".contact for details

    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
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    Negative Logits
    getClient
    0.37
    clementine
    0.37
    hound
    0.36
     lucrative
    0.35
     worthless
    0.35
    👎
    0.35
    addListener
    0.35
    CRO
    0.35
     привле
    0.35
     ambitions
    0.34
    POSITIVE LOGITS
     Arten
    0.39
     nominal
    0.37
     nghệ
    0.37
    fass
    0.36
    ilesh
    0.36
    াচার্য
    0.36
    ufig
    0.36
    ارت
    0.35
    imacy
    0.35
    andelion
    0.35
    Activations Density 0.000%

    No Known Activations