A Primer on the Inner Workings of Transformer-based Language Models
<|reference_start|>A Primer on the Inner Workings of Transformer-based Language Models: The rapid progress of research aimed at interpreting the inner workings of advanced language models has highlighted a need for contextualizing the insights gained from years of work in this area. This primer provides a concise technical introduction to the current techniques used to interpret the inner workings of Transformer-based language models, focusing on the generative decoder-only architecture. We conclude by presenting a comprehensive overview of the known internal mechanisms implemented by these models, uncovering connections across popular approaches and active research directions in this area.<|reference_end|>
@article{ferrando2024a,
    title={A Primer on the Inner Workings of Transformer-based Language Models},
    author={Javier Ferrando, Gabriele Sarti, Arianna Bisazza, Marta R.
  Costa-juss`a},
    journal={arXiv preprint arXiv:2405.00208},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.00208},
    primaryClass={cs.CL}
}