MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611051371 A) filed by Noida Institute Of Engineering And Technology, Greater Noida, Uttar Pradesh, on April 22, for 'a system and method for automated interpretability analysis of transformer-based language model hardware architectures.'
Inventor(s) include Praveen Kumar; and Dr. Atul Pratap Singh.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a hardware-software system (100) for automated interpretability analysis of transformer-based language model architectures. The system (100) comprises a data acquisition hardware module (101), a preprocessing and normalization unit (102), a multi-method interpretability engine (103) having a behavioral probe core (104), a structural probing classifier accelerator (105), and a mechanistic causal intervention hardware unit (106), a cross-model consistency verification module (107), a linguistic phenomenon categorization processor (108), and a reporting and visualization interface (109), all communicatively coupled through a high-speed data bus (110) under control of a master processor (111) having non-transitory memory (112). The system (100) reduces interpretability processing latency by substantially more than half, improves memory utilization of transformer activation tensors, and enables reproducible evaluation of syntactic knowledge encoded within neural network hardware accelerators for industrial deployment in natural language processing infrastructure."
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