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    2. Gemma-3-27B-IT
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    mathematical operations involving numbers, particularly multiplication and quantities like digits. It seems to relate to solving equations or word problems that describe numerical relationships.Let's break down the provided lists:* **MAX_ACTIVATING_TOKENS**: `multiply`, `than`, `than`, `digits`, `be`, `multiply` * This list heavily features the word "multiply" and "digits". "than" appears twice, suggesting comparisons or conditions. "be" is also present.* **TOKENS_AFTER_MAX_ACTIVATING_TOKEN**: * After `multiply`: `2`, `z`, `z`, `5`, `to` * The tokens `2` and `5` suggest numerical values or counts. `z` might be a placeholder for an unknown or variable. `to` suggests a range or a result. * After `than`: `is`, `exactly`, `to` * "is" and "exactly" suggest equality or specific results. "to" again suggests a result or a range. * After `digits`: `5` (this line seems incomplete or not directly mapped in the prompt's format but potentially relates to `6 * 7 = 42` or `sum of its digits`) * After `be`: `multiply` * This implies a structure like "be multiply to ..." or a relationship where something "is" related to multiplication.* **TOP_POSITIVE_LOGITS**: `povos`, `appreciably`, `آبادی`, `sé`, `Avoid`, `堌`, `Work`, `மக்களுக்கு`, `ostrum`, `WORKSPACE` * This list is very diverse and includes non-English words and seemingly unrelated English words (like "Work", "WORKSPACE", "Avoid"). This suggests the neuron might be detecting *mathematical context* or *problem-solving structures* rather than specific English words. The presence of foreign characters like `آبادی`, `堌`, `மக்களுக்கு` strongly hints that this neuron is *not* primarily about English word patterns. It might be capturing abstract representations of mathematical operations or structures that transcend specific languages.* **TOP_ACTIVATING_TEXTS**: * "plant a rectangular **orchard**. He has 60 meters of fencing available. He wants the area of the orchard to be 200 square meters." - Geometry, area, dimensions. * "If x + y = z and x * y = z, then what is x - y = ?" - Algebra, solving equations. * "150 meters and a width of 90 meters. He wants to increase the area of the field by 50%." - Geometry, area, percentages. * "find two numbers that add up to -8 and **multiply** to 12." - Algebra, finding factors. * "the other operand must be greater than 10" - Conditions, numerical constraints. * "6 * 7 = 42" - Multiplication example. * "What are all the numbers where the sum of it's **digits** times the product of it's **digits** is equal to the number itself" - Number theory, properties of digits. * "if I **multiplied** the 3 **digits** together, the answer would be exactly one quarter of my locker combination." - Multiplication, digits, word problems. * "$$n(n-1) = 132$$ We are looking for two consecutive integers that **multiply** to 132." - Algebra, multiplication.**Pattern Identification:**1. **Keywords**: "multiply", "digits", "area", "equations", "numbers", "add up", "product", "sum".2. **Context**: The texts are overwhelmingly mathematical word problems or algebraic expressions. They involve calculations, geometric properties, and number theory.3. **Structure**: The T**OKENS_AFTER_MAX_ACTIVATING_TOKEN** like `to` (after `multiply`) and `is`, `exactly` (after `than`) suggest relationships like "multiply to X" or comparisons of quantities.**Synthesizing the Explanation:**The neuron clearly activates for text describing mathematical operations, calculations, and numerical relationships. The presence of "multiply" and "digits" in MAX_ACTIVATING_TOKENS, combined with the mathematical nature of the TOP_ACTIVATING_TEXTS, points towards this. The diverse TOP_POSITIVE_LOGITS suggest it's capturing the *concept* of mathematical relations rather than specific words, especially given the non-English characters.A good explanation should capture this focus on mathematical operations and quantities.Let's consider options:* Mathematical operations with numbers* Numerical quantities and calculations* Algebraic and geometric problems* Multiplication and digit properties* Math problem formulationThe prompt asks for 3-20 words. "Multiplication and digit properties" is too specific because it also covers geometry and general equations. "Math problem formulation" is good. "Numerical quantities and calculations" is also good.Let's look at the *most common* themes. Multiplication is very prominent. Digit-based calculations are also prominent."multiply" and "digits" are key tokens.The examples show:- Multiplication of numbers.- Properties related to digits (sum, product).- Geometric calculations involving numbers.- Algebraic equations.The core is definitely quantitative reasoning."calculating with numbers and operations" - 5 words"mathematical operations and quantities" - 4 words"algebraic and numerical calculations" - 4 words"finding numerical relations and operations" - 5 words"interpreting mathematical word problems" - 4 wordsThe TOP_POSITIVE_LOGITS inclusion of non-English words like `آبادی` (population/settlement) and `மக்களுக்கு` (to the people/for the people) might suggest that it's not *just* about abstract math, but potentially math *applied* to real-world scenarios, or perhaps these are just high-activation tokens from a very diverse multilingual math dataset. However, the prompt asks to find a pattern *in the lists provided*. The most consistent pattern across MAX_ACTIVATING_TOKENS, TOKENS_AFTER_MAX_ACTIVATING_TOKEN, and TOP_ACTIVATING_TEXTS is *mathematics*."multiplication and numerical operations" - 4 words. This is strongly supported by `multiply`, `digits`, and the text examples."solving math word problems" - 4 words. This captures a good portion of the texts."mathematical expressions and quantities" - 4 words.Let's re-evaluate "digits" from

    np_acts-logits-general · gemini-2.5-flash-lite
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    Prompts (Dashboard)
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    Negative Logits
     unaware
    0.41
    不知
    0.37
     hiatus
    0.36
    漢字
    0.35
    initWith
    0.35
     mię
    0.34
    i
    0.34
     мүмк
    0.33
     тера
    0.33
     ระยะ
    0.33
    POSITIVE LOGITS
     povos
    0.38
     appreciably
    0.36
     آبادی
    0.36
     sé
    0.35
    Avoid
    0.35
    堌
    0.34
    Work
    0.33
     மக்களுக்கு
    0.33
    ostrum
    0.33
    WORKSPACE
    0.33
    Activations Density 0.000%

    No Known Activations