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DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces

DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces

24 May 2025
Romeo Valentin
Sydney M. Katz
Vincent Vanhoucke
Mykel J. Kochenderfer
ArXiv (abs)PDFHTML

Papers citing "DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces"

3 / 3 papers shown
Title
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
Learning Multi-Level Features with Matryoshka Sparse Autoencoders
Bart Bussmann
Noa Nabeshima
Adam Karvonen
Neel Nanda
126
13
0
21 Mar 2025
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
Adam Karvonen
Can Rager
Johnny Lin
Curt Tigges
Joseph Isaac Bloom
...
Matthew Wearden
Arthur Conmy
Arthur Conmy
Samuel Marks
Neel Nanda
MU
164
23
0
12 Mar 2025
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
Yu Zhao
Alessio Devoto
Giwon Hong
Xiaotang Du
Aryo Pradipta Gema
Hongru Wang
Xuanli He
Kam-Fai Wong
Pasquale Minervini
KELMLLMSV
132
28
0
21 Oct 2024
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