In this research, we performed an analysis of eight XAI methods and used 1.) test-time augmentation, 2.) in-between model, method and sample cosine distances, 3.) entropy, and 4.) relative importance given to structural alerts to assess the validity of these XAI methods and XAI robustness analyses in the context of NLP-based molecular-representation models for toxicity.