Deciphering Transformer Language Models: Advances in Interpretability Research

The surge in powerful Transformer-based language models (LMs) and their widespread use highlights the need for research into their inner workings. Understanding these mechanisms in advanced AI systems is crucial for ensuring their safety, and fairness, and minimizing biases and errors, especially in critical contexts. Consequently, there’s been a notable uptick in research within the […]

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