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    Explanations

    instructionsThe explanation should be a concise phrase (3 to 20 words) that captures what the neuron detects or predicts by finding patterns in lists.It should only state the pattern itself, without introductory phrases.It should not mention "tokens" or "patterns".It should not capitalize the first letter unless it is a proper noun.Let's analyze the provided lists:* **MAX_ACTIVATING_TOKENS**: `subsequent`, `issues`, `a`, `.`, `)`, `ra`, `to`, `ubre`, `,`* **TOKENS_AFTER_MAX_ACTIVATING_TOKEN**: `analysis`, `,`, `more`, `I`, `Soup`, `effectively`, `nuestra`, `ask`* **TOP_POSITIVE_LOGITS**: `Berat`, `Starts`, `чемпионате`, `Starts`, `Кра`, `شتہ`, `жит`, `사랑`, `তাড়াতাড়ি`, `ตะ`* **TOP_ACTIVATING_TEXTS**: * "...relevance of **subsequent analysis** and predictive modeling." * "The error lies in the verb agreement. The subject of the main clause is "**issues**," which is plural. Therefore, the verb must also be plural ("were"), not singular ("was"). Here" * "Excellent **para** principiantes en español. Explican conceptos de forma clara y sencilla. Cursos de Python, JavaScript" (This one contains "para", which could relate to `ra` if it's a substring or specific dialect usage). * "Okra **Soup** with Semolina/Wheat (45min) – *Use spinach or ugu leaves* * **Dinner:**" (This contains `Soup` which is in TOKENS_AFTER_MAX_ACTIVATING_TOKEN, following `a` or `,`). * "to communicate more **effectively** and appropriately." (This contains `effectively`, which is in TOKENS_AFTER_MAX_ACTIVATING_TOKEN, potentially following `to`). * "Descubre **nuestra** selección de cervezas artesanales y encuentra tu terapia líquida perfecta! 🍻" (This contains `nuestra`, which is in TOKENS_AFTER_MAX_ACTIVATING_TOKEN, potentially following `a`). * "feel safe to speak up, **ask** questions, admit mistakes, and challenge ideas without fear of retribution." (This contains `ask`, which is in TOKENS_AFTER_MAX_ACTIVATING_TOKEN, potentially following `a`).Observations:* `subsequent` followed by `analysis` is a strong hit.* `issues` is present.* `Soup`, `effectively`, `nuestra`, `ask` are common words that appear after tokens like `a`, `,`, or `to`.* The TOP_POSITIVE_LOGITS contain many non-English words, suggesting the neuron might be sensitive to very specific linguistic structures or perhaps certain types of punctuation or short, common words in various languages, or specific types of numbers/codes (like the dates in texts).Considering the strong presence of `subsequent analysis`, and other common follow-ups like `Soup`, `effectively`, `nuestra`, `ask` after potentially common short words or punctuation, the neuron seems to be picking up on sequences that lead to descriptive or functional words. The foreign characters could be part of specific grammatical structures or simply noise that doesn't deter the main pattern.A pattern emerges around common introductory words or punctuation followed by specific types of nouns or verbs.Let's refine the explanation to be more specific."subsequent analysis" is a clear pattern."issues" is a single word.The sequence `a` followed by `analysis`, `Soup`, `effectively`, `nuestra`, `ask` is suggestive.The token `subsequent` followed by `analysis` is very specific.The list of MAX_ACTIVATING_TOKENS contains common English words and punctuation. The TOKENS_AFTER_MAX_ACTIVATING_TOKEN contains mostly common English words. The TOP_POSITIVE_LOGITS are a mix of English and foreign words.Let's focus on the most concrete pattern: `subsequent` -> `analysis`.Also, words like `ask`, `effectively`, `nuestra`, `Soup` appearing after tokens like `a`, `to`, `,` suggests a role in specifying actions or items.Given the constraint of 3-20 words and finding a pattern, "subsequent analysis" is a strong candidate but might be too specific if it's not the *only* thing.The mixture of foreign and English words in LOGITS is hard to pin down to a semantic meaning.However, "subsequent analysis" is a specific phrase found in the texts.The presence of `issues` is also notable.Let's consider the "instructions" part of the prompt itself as an example:"Explain the behavior of the neuron in a single short phrase.""Find a pattern that helps you explain the behavior.""Keep your explanation concise (3 to 20 words)."The neuron is essentially identifying meaningful sequences.The most explicit and repeated pattern involves `subsequent` and `analysis`.Let's try to generalize slightly.If we look at `subsequent analysis` and `issues`, and other words like `Soup`, `effectively`, `nuestra`, `ask`, it's about specific items or actions following certain cues.What if the neuron is about common collocations or phrases?"subsequent analysis" is a collocation."ask questions" is a collocation.The `MAX_ACTIVATING_TOKENS` includes `subsequent`, `issues`.`TOKENS_AFTER_MAX_ACTIVATING_TOKEN` includes `analysis`, `ask`, `effectively`, `nuestra`, `Soup`.The pattern seems to be specific functional or descriptive words following common contextual words or punctuation.The phrase "subsequent analysis" is the most concrete and directly observable pattern across the lists.Let's re-evaluate the prompt rules:

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-27b-it/resid_post/layer_40_width_262k_l0_medium
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     reprehenderit
    0.41
     huynh
    0.41
     thanh
    0.39
     générales
    0.39
     IL
    0.39
     readjust
    0.39
    ှ
    0.39
     cuad
    0.38
     hwnd
    0.38
    몄
    0.37
    POSITIVE LOGITS
    Berat
    0.42
     Starts
    0.41
     чемпионате
    0.40
    Starts
    0.40
    Кра
    0.39
    شتہ
    0.38
    жит
    0.37
     사랑
    0.37
     তাড়াতাড়ি
    0.37
    ตะ
    0.37
    Activations Density 0.000%

    No Known Activations