37 citations · 63 across the 28 of their papers we have counts for
6 papers · 1 filter
IruMozhi: Automatically classifying diglossia in Tamil
Kabilan Prasanna, Aryaman Arora
Tamil, a Dravidian language of South Asia, is a highly diglossic language with two very different registers in everyday use: Literary Tamil (preferred in writing and formal communi…
Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP
Vedant Palit, Rohan Pandey, Aryaman Arora +1
Mechanistic interpretability seeks to understand the neural mechanisms that enable specific behaviors in Large Language Models (LLMs) by leveraging causality-based methods. While t…
Jambu: A historical linguistic database for South Asian languages
Aryaman Arora, Adam Farris, Samopriya Basu +1
We introduce Jambu, a cognate database of South Asian languages which unifies dozens of previous sources in a structured and accessible format. The database includes 287k lemmata f…
Localizing Model Behavior with Path Patching
Nicholas Goldowsky-Dill, Chris MacLeod, Lucas Sato +1
Localizing behaviors of neural networks to a subset of the network's components or a subset of interactions between components is a natural first step towards analyzing network mec…
CGELBank Annotation Manual v1.2
Brett Reynolds, Nathan Schneider, Aryaman Arora
CGELBank is a treebank and associated tools based on a syntactic formalism for English derived from the Cambridge Grammar of the English Language (CGEL; Huddleston and Pullum, 2002…
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
Atticus Geiger, Duligur Ibeling, Amir Zur +8
Causal abstraction provides a theoretical foundation for mechanistic interpretability, the field concerned with providing intelligible algorithms that are faithful simplifications…