the nature and impact of abstract concepts like knowledge, ideas, circumstances, and influence.

contractions and possessives marked by apostrophes in conversational text.

The neuron detects user query turns—that is, lines where the user asks a question.

It detects first-person self-statements—phrases where the speaker (I/I'm/I will) announces or reports their own actions, status, intentions, or requests.

mentions of the current U.S. President (Joe Biden) and tokens indicating currentness or specific dates/times.

tokens representing numbers, dates, years, or other numeric/factual metadata (including turn/start markers).

This neuron detects numeric tokens—numbers, years, scores, and other digit-containing tokens in the text.

the neuron detects question/request turns — it fires on tokens that appear in user queries asking for factual information.

This neuron detects date expressions—especially month names and nearby numeric tokens that form calendar dates.

tokens from the model/assistant's reply—especially self-referential or help/clarification phrases (the assistant speaking).

Detects when the model/assistant is producing a long, structured response—activating on tokens that mark assistant-generated content (introductions, headings, list or reply-openers).

The neuron detects date-related tokens (months, days, years, and other tokens used in dates).

The neuron detects numeric timestamp‑style tokens (numbers with decimal/float-like values often appearing after dates or time markers).

finds numeric tokens (years, dates, and other numbers).

The neuron detects temporal references — months, seasons, and explicit date/time mentions (e.g., "May", "spring", "mid‑May 2024").

tokens that are numeric timestamps or high-precision numeric date/time markers.

mentions of specific years and dated time markers, especially recent calendar years and fiscal year labels (e.g., FY-year).

calendar dates and date/time calculations or recurrence-rule syntax.

references to specific calendar years and dated time markers in text.

The neuron activates on numeric tokens representing floating‐point values (e.g. “650.4088”)