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Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders
28 October 2024
Viacheslav Surkov
Chris Wendler
Mikhail Terekhov
Justin Deschenaux
Robert West
Çağlar Gülçehre
VLM
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Papers citing
"Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders"
3 / 3 papers shown
Title
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
Harrish Thasarathan
Julian Forsyth
Thomas Fel
M. Kowal
Konstantinos G. Derpanis
81
7
0
06 Feb 2025
SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders
Bartosz Cywiñski
Kamil Deja
DiffM
50
6
0
29 Jan 2025
Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
Gouki Minegishi
Hiroki Furuta
Yusuke Iwasawa
Y. Matsuo
38
1
0
09 Jan 2025
1