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This paper investigates whether activation patterns in Polish Bielik LLMs can detect entity familiarity before generation, using unsupervised dispersion measures that achieve near-perfect separation of known vs. fabricated entities across model scales, while showing that factual reliability improves sharply with scale but is harder to predict from activations.