A transparency audit of DiffusionGemma reveals it is not significantly less transparent than the standard Gemma model. Researchers used the logit lens to analyze intermediate vectors, overcoming the model's larger opaque serial depth. This finding suggests that text diffusion architectures maintain similar monitorability to autoregressive models. Practitioners can apply existing interpretability tools to these new structures.