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    3. 15-GEMMASCOPE-2-TRANSCODER-262K
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    Explanations

    The neuron is looking for mentions related to Japan. The tokens `Japan` and `Japanese` dominate `MAX_ACTIVATING_TOKENS`. `TOP_POSITIVE_LOGITS` confirm this with `日本`, `Japan`, and `Jepang`, along with culturally associated items like `🍣` and `Sushi`. `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` show common punctuation and conjunctions that follow `Japan`, indicating `Japan` is often a noun ending a phrase or clause. The `TOP_ACTIVATING_TEXTS` also heavily feature "Japan" and "Japanese" in various contexts, like history, geography, and food.Therefore, a concise explanation would be:Japan or Japanese

    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_15_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
    No Configuration Found
    Embeds
    IFrame
    Link
    Negative Logits
    on
    0.52
    ansen
    0.52
     زمن
    0.51
    aza
    0.50
     된
    0.49
    appa
    0.49
     باست
    0.49
    gever
    0.49
    klassen
    0.48
    appen
    0.48
    POSITIVE LOGITS
    日本
    0.58
    Japan
    0.58
     Jepang
    0.57
    🍣
    0.56
    鮫
    0.55
     Sushi
    0.53
    北海道
    0.51
    Sushi
    0.51
    
    0.51
     California
    0.51
    Activations Density 0.010%

    No Known Activations