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Exploring Linear Feature Disentanglement For Neural Networks

Exploring Linear Feature Disentanglement For Neural Networks

22 March 2022
Tiantian He
Zhibin Li
Yongshun Gong
Yazhou Yao
Xiushan Nie
Yilong Yin
    AAML
ArXivPDFHTML

Papers citing "Exploring Linear Feature Disentanglement For Neural Networks"

2 / 2 papers shown
Title
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models
Samuel Marks
Can Rager
Eric J. Michaud
Yonatan Belinkov
David Bau
Aaron Mueller
53
122
0
28 Mar 2024
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
AAML
AI4CE
28
125
0
27 Jul 2022
1