The user's previous explanation was too long and conversational. I need to return *only* the concise phrase (3-20 words) that explains the neuron's behavior, without any introductory sentences.Let's re-evaluate the patterns:**MAX_ACTIVATING_TOKENS**:- have- color- money- hiding- actually- includes- Housing- decided- GPU- Driver**TOKENS_AFTER_MAX_ACTIVATING_TOKEN**:- plans (after 'have')- like (after 'color')- so (after 'money')- your (after 'hiding')- copied (after 'actually')- three (after 'includes')- Provider (after 'Housing')- to (after 'decided')- architecture (after 'GPU')- driver (after 'driver')This list clearly shows tokens that often appear *after* the corresponding MAX_ACTIVATING_TOKEN. This is a "what comes next" pattern.**TOP_POSITIVE_LOGITS**:- ing- ode- iodo- elle- hol- uer- williams- ibilit- egenes- busThese are word suffixes or partial words, indicating a focus on morphology or word structure towards the end of words.**TOP_ACTIVATING_TEXTS**:- "Worried about the economy? Want to stop spending money on dues and taxes" -> money on- "two option color sets for tips card vol.6. The color start with the spring tone color like green" -> color like- "buys up the next number of shares. It includes three options in its execution logic." -> includes three- "Supported Housing Provider services." -> Housing Provider- "customer ultimately decided to return the monitor" -> decided to- "older GPU architecture (Kepler)." -> GPU architecture- "AndroidDriver driver; // Your Appium driver instance" -> Driver driverThe most prominent pattern across MAX_ACTIVATING_TOKENS and TOKENS_AFTER_MAX_ACTIVATING_TOKEN is identifying what tokens *follow* a specific input token. The TOP_POSITIVE_LOGITS suggest it might be related to word endings or specific word structures.Combining these, the neuron seems to predict or associate words that follow a given word, possibly with a lean towards certain word types based on suffixes.Let's try to phrase this concisely:- "predicting words that follow given words" (5 words)- "associates words with their subsequent neighbors" (6 words)- "identifies token sequences" (3 words) - but "tokens" is not allowed.- "identifies word sequences" (3 words)- "what comes next in word sequences" (6 words)- "detecting sequential word associations" (4 words)- "following words" (2 words) - too short.- "sequential word completion" (3 words)The pattern here is strongly about predicting the *next* word in a sequence. The "ing", "ode", "elle" etc. from TOP_POSITIVE_LOGITS might hint at a general tendency, but the most concrete pattern is the token-after-token relationship.sequential word completion