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Relational Composition in Neural Networks: A Survey and Call to Action

Relational Composition in Neural Networks: A Survey and Call to Action

19 July 2024
Martin Wattenberg
Fernanda Viégas
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Relational Composition in Neural Networks: A Survey and Call to Action"

5 / 5 papers shown
Title
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
From Flat to Hierarchical: Extracting Sparse Representations with Matching Pursuit
Valérie Costa
Thomas Fel
Ekdeep Singh Lubana
Bahareh Tolooshams
Demba Ba
63
0
0
03 Jun 2025
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models
Thomas Fel
Ekdeep Singh Lubana
Jacob S. Prince
M. Kowal
Victor Boutin
Isabel Papadimitriou
Binxu Wang
Martin Wattenberg
Demba Ba
Talia Konkle
76
8
0
18 Feb 2025
Towards Unifying Interpretability and Control: Evaluation via Intervention
Towards Unifying Interpretability and Control: Evaluation via Intervention
Usha Bhalla
Suraj Srinivas
Asma Ghandeharioun
Himabindu Lakkaraju
110
11
0
07 Nov 2024
Residual Stream Analysis with Multi-Layer SAEs
Residual Stream Analysis with Multi-Layer SAEs
Tim Lawson
Lucy Farnik
Conor Houghton
Laurence Aitchison
82
5
0
06 Sep 2024
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Talking Heads: Understanding Inter-layer Communication in Transformer Language Models
Jack Merullo
Carsten Eickhoff
Ellie Pavlick
146
16
0
13 Jun 2024
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