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Evaluating Open-Source Sparse Autoencoders on Disentangling Factual
  Knowledge in GPT-2 Small

Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small

5 September 2024
Maheep Chaudhary
Atticus Geiger
ArXivPDFHTML

Papers citing "Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small"

14 / 14 papers shown
Title
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
Mengru Wang
Ziwen Xu
Shengyu Mao
Shumin Deng
Zhaopeng Tu
Ningyu Zhang
N. Zhang
LLMSV
63
0
0
23 May 2025
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Rui Melo
Claudia Mamede
Andre Catarino
Rui Abreu
Henrique Lopes Cardoso
64
0
0
15 May 2025
Discovering Chunks in Neural Embeddings for Interpretability
Discovering Chunks in Neural Embeddings for Interpretability
Shuchen Wu
Stephan Alaniz
Eric Schulz
Zeynep Akata
69
0
0
03 Feb 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Minegishi
Hiroki Furuta
Yusuke Iwasawa
Y. Matsuo
91
2
0
09 Jan 2025
Analyzing (In)Abilities of SAEs via Formal Languages
Analyzing (In)Abilities of SAEs via Formal Languages
Abhinav Menon
Manish Shrivastava
David M. Krueger
Ekdeep Singh Lubana
75
7
0
15 Oct 2024
Residual Stream Analysis with Multi-Layer SAEs
Residual Stream Analysis with Multi-Layer SAEs
Tim Lawson
Lucy Farnik
Conor Houghton
Laurence Aitchison
53
5
0
06 Sep 2024
Identifying Functionally Important Features with End-to-End Sparse
  Dictionary Learning
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning
Dan Braun
Jordan K. Taylor
Nicholas Goldowsky-Dill
Lee D. Sharkey
48
38
0
17 May 2024
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
103
137
0
28 Mar 2024
Mass-Editing Memory in a Transformer
Mass-Editing Memory in a Transformer
Kevin Meng
Arnab Sen Sharma
A. Andonian
Yonatan Belinkov
David Bau
KELM
VLM
101
543
0
13 Oct 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPT
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
170
1,308
0
10 Feb 2022
Natural Language Descriptions of Deep Visual Features
Natural Language Descriptions of Deep Visual Features
Evan Hernandez
Sarah Schwettmann
David Bau
Teona Bagashvili
Antonio Torralba
Jacob Andreas
MILM
280
117
0
26 Jan 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
399
2,051
0
31 Dec 2020
Transformer Feed-Forward Layers Are Key-Value Memories
Transformer Feed-Forward Layers Are Key-Value Memories
Mor Geva
R. Schuster
Jonathan Berant
Omer Levy
KELM
115
792
0
29 Dec 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
310
42,038
0
03 Dec 2019
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