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    1. **Function/Method Endings**: Many examples show closing braces `}` or semicolons `;` after a method or function definition.2. **Control Flow/Execution**: The token `next` appears multiple times as a MAX_ACTIVATING_TOKEN, and the `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` often contains `)`. This suggests something related to proceeding or executing the next step in a sequence, often found in function calls or callbacks.3. **Code Structure**: Tokens like `)`, `}`, `]`, `;` are all structural elements of code.4. **TOP_POSITIVE_LOGITS**: This list is quite diverse, including words related to "increase" (увеличить, 증가), programming/technical terms (eliminates), and even currency/planning/knowledge in different languages. This diversity suggests the neuron might be broadly related to actions or states within a system, rather than a specific semantic concept.**Connecting the dots**:The `MAX_ACTIVATING_TOKENS` are heavily composed of structural code elements and `next`. The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` primarily show closing parentheses `)`.This strongly suggests the neuron is recognizing patterns around **function calls, method continuations, or sequences within code structures**. The `next` token being frequent is a strong indicator of this.Considering the constraints:- Concise (3-20 words)- Find patterns- Don't list tokens- Specific- Not "This neuron detects/predicts..."- No "tokens" or "patterns"The repeated presence of `next` and structural code tokens (`};`) points to the neuron's role in processing steps within code execution, especially continuations or end-of-block markers.Let's try to capture this."function continuation or end" - 4 words. Specific enough."code block endings and continuations" - 5 words."proceeding to next code block" - 5 words."function call or callback completion" - 5 words.The most consistent pattern seems to be related to the execution flow, particularly the concept of "next" step or "end" of a block.function continuation or end

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-27b-it/transcoder_all/layer_22_width_262k_l0_small_affine
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     Sh
    0.49
     Bad
    0.45
     Tw
    0.44
     Byers
    0.43
     Dev
    0.43
     Bol
    0.42
     Ry
    0.41
     Metro
    0.41
    Sh
    0.40
     Ral
    0.40
    POSITIVE LOGITS
     увеличить
    0.45
     минера
    0.43
     eliminates
    0.43
    лек
    0.43
     ilmu
    0.42
    ₮
    0.42
    spotify
    0.42
    лил
    0.42
    planung
    0.42
     증가
    0.41
    Activations Density 0.000%

    No Known Activations