The 3rd New England Mechanistic Interpretability (NEMI) workshop

About the Workshop

The New England Mechanistic Interpretability (NEMI) workshop aims to bring together academic and industry researchers from the New England and surrounding regions who are advancing the field of mechanistic interpretability in machine learning systems. The workshop will serve as a forum to share recent progress, challenges, and ideas in reverse-engineering, circuit analysis, and other techniques that seek to understand how models compute internally. NEMI seeks to foster a participatory and collaborative environment where researchers at all levels—including graduate students, early-career scientists, and established experts—can engage in discussion and feedback. We particularly encourage submissions from rising researchers currently enrolled in graduate programs at New England-based universities. Topics of interest include (but are not limited to) interpretability of neural circuits, probe-based analysis, feature attribution methods, model simplification, actionable interp, and interp for science. The workshop will feature a dynamic program including invited keynote speakers, selected oral presentations, interactive poster sessions, and opportunities for open discussion.