specialized, compound jargon terms—especially technical computing/electronics vocabulary and references to input keys and authentication.

hexadecimal-style codes and memory/address dump entries in structured, code-like data.

programming/code snippets, especially identifiers and syntax from class definitions, namespaces, annotations, and build/config directives.

The neuron detects section headings and document-structure markers (titles, numbered list entries and other section-start tokens) across languages.

The neuron activates on content-bearing tokens (meaningful nouns/verbs/identifiers and keywords) rather than on common function words or punctuation.

This neuron detects explicit instructions and formatting or response directives in system or prompt text.

References to legal cases, formal court headings, or courtroom/judgment context (case names, "vs.", "The Court", legal-issue headings).

This neuron strongly detects mentions of short-term rental properties and related review/booking context (references to an Airbnb or property listing and requests to write or describe a stay).

The neuron detects the assistant's discourse-opening phrases that begin explanations or step‑by‑step guides (e.g., "Okay, let's break down", "Here's a ... guide").

instances of conversation/control tokens and turn boundaries (e.g., <start_of_turn>, system/model markers) — i.e., structural / meta tokens indicating speaker turns or formatting.

Tokens containing an apostrophe/typographic single-quote (contractions and possessives like I’m, don’t, ’s, etc.).

Phrases that signal a narrated account — words like "story", "tale", "recounted"/"told"/"recalled"/"recount" and other reporting verbs that introduce someone telling an account.

the names of groups, collections, or multi-part structures (words indicating pairs/triplets/components/members/complexes/systems).

mentions of people, human roles, groups, or agents (e.g., staff, resident, owner, officer, person).

text-structure and formatting markers (section headings, separators and other layout/markup artifacts).

first-person subjective statements expressing the writer's opinions, preferences, or list-making (e.g., "I", "I'm", "I'll", "my", "picks", "list", "include").

The neuron detects code-like programming syntax (tokens that signal code structure, especially variable/constant declarations and other keywords).

mentions of spies, intelligence agencies, undercover agents, and related espionage or national-security terms.

positions of speaker labels and colons that mark turns in a transcript (e.g., "Q:", "A:", or other colon-delimited speaker markers).

the presence of function words and discourse/connective markers (common stopwords, sentence-level connectors, and punctuation that signal sentence structure or transitions).