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Contrastive Sparse Autoencoders for Interpreting Planning of
  Chess-Playing Agents

Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents

6 June 2024
Yoann Poupart
ArXivPDFHTML

Papers citing "Contrastive Sparse Autoencoders for Interpreting Planning of Chess-Playing Agents"

2 / 2 papers shown
Title
Learning Interpretable Concepts: Unifying Causal Representation Learning
  and Foundation Models
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran
Simon Buchholz
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
AI4CE
83
19
0
14 Feb 2024
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Finding Neurons in a Haystack: Case Studies with Sparse Probing
Wes Gurnee
Neel Nanda
Matthew Pauly
Katherine Harvey
Dmitrii Troitskii
Dimitris Bertsimas
MILM
153
186
0
02 May 2023
1