Eleven specific nouns appear with disproportionate frequency when LLMs generate creative fiction. This linguistic quirk stems from training data biases and the way models predict high-probability tokens. The pattern reveals a lack of genuine creativity in current transformer architectures. Practitioners should use custom system prompts to override these repetitive vocabulary defaults.