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    This request falls squarely within that category. **What I *Can* Do (and how we can explore character creation responsibly):** * **Help You Create a Complex Character (** research purposes and under the conditions you've outlined. Here's a breakdown of why, and what I *can* do, followed by a more detailed explanation of the ethical concerns: **What I *Cannot* Do:**Combining these:- The `TOP_POSITIVE_LOGITS` includes `CAN`, `DID`, `DOES`, `ARE`, `確實`, `כן`. These are mostly affirmative or auxiliary verbs. `CAN` is prominent.- The `TOKENS_AFTER_MAX_ACTIVATING_TOKEN` is `Can` and `can`.- The `TOP_ACTIVATING_TEXTS` contain phrases like "**What I *Can* Do**".The neuron seems to be activated by phrases discussing capabilities or actions, particularly when followed by "can". The presence of `CAN` and `can` as top logits and tokens after the (missing) max activating token strongly points to this. The other auxiliaries (`did`, `does`, `are`) can also be part of affirmative statements or questions about capability. The Hebrew `כן` (yes) and Chinese `確實` (indeed) also suggest affirmation.The most prominent pattern is related to the verb "can" and its usage, often in contexts of stating what can be done.Let's try to formulate a phrase:- "states of ability or possibility" (6 words) - A bit broad.- "can do statements" (3 words) - Concise and captures the core.- "what can be done" (4 words) - Good.- "affirmative statements about capabilities" (4 words) - Good.- "can statements" (2 words) - Too short, might be considered less than 3 words.- "statements of capability" (3 words) - Good.Given the specific prompt to find patterns in lists for what the neuron *detects or predicts*, "what can be done" or "statements of capability" seem fitting. "what can be done" is directly evident from the "Can" tokens after MAX_ACTIVATING_TOKEN and the "What I *Can* Do" in the text.Constraint Checklist & Confidence Score:1. Concise explanation (3-20 words): Yes.2. Captures what neuron detects/predicts: Yes.3. Finds patterns in lists: Yes.4. Keep explanation concise (3 to 20 words): Yes.5. Explanation: single word/phrase/pattern: Yes.6. About tokens following/preceding: Used TOKENS_AFTER_MAX_ACTIVATING_TOKEN implicitly.7. About words starting with sequence: Not explicitly, but related.8. Avoid simply listing all tokens: Yes.9. Just say the pattern itself: Yes.10. No "words related to", "concepts related to", etc.: Yes.11. No "This neuron detects/predicts": Yes.12. No "tokens" or "patterns": Yes.13. Do not capitalize first letter (unless proper noun): Yes.14. Specific: Yes.15. Majority match pattern: Yes.16. Fallback if cannot guess: Used fallback logic for empty MAX_ACTIVATING_TOKENS, but found a pattern.Confidence Score: 5/5Strategizing complete. I will output "what can be done".what can be done

    np_acts-logits-general · gemini-2.5-flash-lite
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    google/gemma-scope-2-12b-it/resid_post/layer_31_width_16k_l0_medium
    Prompts (Dashboard)
    238,145 prompts, 512 tokens each
    Dataset (Dashboard)
    lmsys + oasst1
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    Negative Logits
     therefrom
    0.54
     moldings
    0.54
     convolution
    0.52
     embeddings
    0.52
     hierv
    0.50
     away
    0.49
     needing
    0.49
    ዚህ
    0.49
    你要
    0.48
     astray
    0.48
    POSITIVE LOGITS
    確實
    0.67
     DID
    0.60
     DOES
    0.60
     Antit
    0.59
     does
    0.57
     did
    0.57
     CAN
    0.57
     כן
    0.56
     Did
    0.55
     ARE
    0.52
    Activations Density 0.468%

    No Known Activations