A transparency audit of DiffusionGemma reveals the model is not significantly less transparent than its predecessor. Researchers applied the logit lens to intermediate vectors to overcome a large opaque serial depth. The findings show both models perform similarly on monitorability evaluations. This result suggests text diffusion architectures do not inherently hinder interpretability for Google DeepMind.