**Analyzing Neuron Behavior**I am currently analyzing the provided lists to discern a pattern in neuron activation. My focus is on understanding how `TOP_ACTIVATING_TOKENS` relates to `MAX_ACTIVATING_TOKENS` and subsequent tokens, aiming for a concise explanation of the neuron's function.Looking at the provided lists:- **MAX_ACTIVATING_TOKENS**: This list is dominated by the token "const".- **TOKENS_AFTER_MAX_ACTIVATING_TOKEN**: This list contains words like "app", "fast", "width", "frequency", "scene", "pool", "ray", "player", "client", "width". These are all common nouns, often related to programming or technical concepts.- **TOP_POSITIVE_LOGITS**: This list has a mix of tokens, including some non-English ones.- **TOP_ACTIVATING_TEXTS**: The texts show examples like `const app = express();`, `const fastify: FastifyInstance = Fastify({...});`, `const width = window.innerWidth;`, `const scene = new THREE.Scene();`, `const pool = new Pool(dbConfig);`, `const raycaster = new THREE.Raycaster();`, `const player = {...};`, `const client = new BitPayClient(apiKey, privateKey);`.The pattern is clear: the neuron activates when encountering the keyword "const" followed by various programming-related nouns (app, fastify, width, scene, pool, raycaster, player, client). This implies the neuron is looking for constant declarations followed by specific types of entities.Therefore, the phrase should capture this "const [entity]" structure.Explanation: **const [programming entity]**const [programming entity]