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Locating and Editing Factual Associations in GPT
v1v2v3v4v5 (latest)

Locating and Editing Factual Associations in GPT

10 February 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
    KELM
ArXiv (abs)PDFHTML

Papers citing "Locating and Editing Factual Associations in GPT"

6 / 1,056 papers shown
Title
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
232
167
0
20 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
149
193
0
30 Aug 2022
Net2Brain: A Toolbox to compare artificial vision models with human
  brain responses
Net2Brain: A Toolbox to compare artificial vision models with human brain responses
Domenic Bersch
Kshitij Dwivedi
Martina Vilas
Radoslaw Martin Cichy
Gemma Roig
72
5
0
20 Aug 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of
  Deep Neural Networks
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
AAMLAI4CE
135
134
0
27 Jul 2022
Memory-Based Model Editing at Scale
Memory-Based Model Editing at Scale
E. Mitchell
Charles Lin
Antoine Bosselut
Christopher D. Manning
Chelsea Finn
KELM
126
362
0
13 Jun 2022
Inducing Causal Structure for Interpretable Neural Networks
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger
Zhengxuan Wu
Hanson Lu
J. Rozner
Elisa Kreiss
Thomas Icard
Noah D. Goodman
Christopher Potts
CMLOOD
96
76
0
01 Dec 2021
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