The neuron detects first- and second-person pronouns and related conversational verb forms that indicate personal/addressing language (e.g., "I", "we", "you", "have", "had").

indefinite articles introducing a noun phrase.

The neuron is sensitive to tokens occurring in formal or technical/mathematical contexts—e.g. LaTeX commands, variables, theorem‐ or proof‐style wording, and other formulaic expressions.

It detects informative, expository/encyclopedic tokens — words that appear in factual descriptions, specifications, or technical/descriptive passages.

The neuron detects document-structure and formatting/markup elements (LaTeX/math constructs, section headings/labels, metadata and other non-prose formatting tokens).

The neuron detects positive subjective evaluation or praise—tokens expressing favorable sentiment or admiration.

This neuron lights up on informal, interactive bits of user comments—especially question marks and small reaction/interjection tokens (e.g. “back,” “wow,” “now?”) that signal a conversational or reactive utterance.

tokens that indicate personal emotional reactions or expressive interjections (worry, excitement, shock, or emphasis).

long, multi-sentence assistant responses or explanatory/system-generated text.

A strong detector for sudden, emphatic exclamations or high-intensity emotional interjections (loud reactions, urgencies, and similar bursty dialogue).

the token "voxel" (references to voxel variables in code).

Finds assistant safety/policy language — refusals, disclaimers, and explanations about prohibited content or why the model can't comply.

The neuron detects key content nouns and technical/quantitative terms (domain-specific entities, measurements, statuses and similar important words).

sentence-initial expletive/subject pronoun "it" (including contractions like "it's") used to start or emphasize clauses.

the neuron detects important content words — the meaningful nouns, verbs, and adjectives that carry the main information in a sentence.

Finds prominent topic or heading tokens — the words that start or label important sections or summary sentences.

the neuron detects tokens that are parts of string literals (text inside quotes) in code/examples.

sentences or tokens containing mathematical notation, equations, or formal math problem statements.

phrases and tokens that mark the start of an assistant’s explanatory or organizing reply (e.g., "Okay", "Here", section headers and similar discourse markers).

The neuron primarily detects numeric tokens and numeric/legal citation-like sequences (i.e., numbers and number-heavy references).