Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability

29 July 2024

Papers citing "Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability"

6 / 6 papers shown

Title
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment Sangwon Yu Jongyoon Song Bongkyu Hwang Hoyoung Kang Sooah Cho Junhwa Choi Seongho Joe Taehee Lee Youngjune Gwon Sungroh Yoon 90 4 0 31 Jul 2024
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks Erfan Shayegani Md Abdullah Al Mamun Yu Fu Pedram Zaree Yue Dong Nael B. Abu-Ghazaleh AAML 147 144 0 16 Oct 2023
In-context Learning and Induction Heads Catherine Olsson Nelson Elhage Neel Nanda Nicholas Joseph Nova Dassarma ... Tom B. Brown Jack Clark Jared Kaplan Sam McCandlish C. Olah 240 456 0 24 Sep 2022
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 120 316 0 21 Sep 2022
Gradient-based Adversarial Attacks against Text Transformers Chuan Guo Alexandre Sablayrolles Hervé Jégou Douwe Kiela SILM 98 227 0 15 Apr 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,424 0 23 Jan 2020