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SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models

22 May 2025
Zirui He
Mingyu Jin
Bo Shen
Ali Payani
Yongfeng Zhang
Mengnan Du
    LLMSV
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Papers citing "SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models"

16 / 16 papers shown
Title
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
Yongbin Li
Zhiting Fan
Ruizhe Chen
Xiaotang Gai
Luqi Gong
Yan Zhang
Zuozhu Liu
LLMSV
64
5
0
20 Apr 2025
Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders
Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders
Xuansheng Wu
Jiayi Yuan
Wenlin Yao
Xiaoming Zhai
Ninghao Liu
LLMSV
134
9
0
24 Feb 2025
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
Subhash Kantamneni
Joshua Engels
Senthooran Rajamanoharan
Max Tegmark
Neel Nanda
107
13
0
23 Feb 2025
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
Z. He
Haiyan Zhao
Yiran Qiao
Fan Yang
Ali Payani
Jing Ma
Jundong Li
LLMSV
97
9
0
17 Feb 2025
Sparse Autoencoder Features for Classifications and Transferability
Sparse Autoencoder Features for Classifications and Transferability
Jack Gallifant
Shan Chen
Kuleen Sasse
Hugo J. W. L. Aerts
Thomas Hartvigsen
Danielle S. Bitterman
70
5
0
17 Feb 2025
A Unified Understanding and Evaluation of Steering Methods
A Unified Understanding and Evaluation of Steering Methods
Shawn Im
Yixuan Li
LLMSV
64
6
0
04 Feb 2025
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models
Javier Ferrando
Oscar Obeso
Senthooran Rajamanoharan
Neel Nanda
141
27
0
21 Nov 2024
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao
Heng Zhao
Bo Shen
Ali Payani
Fan Yang
Mengnan Du
86
5
0
30 Sep 2024
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories
Tianlong Wang
Xianfeng Jiao
Yifan He
Zhongzhi Chen
Yinghao Zhu
Xu Chu
Junyi Gao
Yasha Wang
Liantao Ma
LLMSV
99
12
0
26 May 2024
Word Embeddings Are Steers for Language Models
Word Embeddings Are Steers for Language Models
Chi Han
Jialiang Xu
Manling Li
Yi R. Fung
Chenkai Sun
Nan Jiang
Tarek Abdelzaher
Heng Ji
LLMSV
64
40
0
22 May 2023
Efficient fair PCA for fair representation learning
Efficient fair PCA for fair representation learning
Matthäus Kleindessner
Michele Donini
Chris Russell
Muhammad Bilal Zafar
FaML
46
15
0
26 Feb 2023
Contrastive Decoding: Open-ended Text Generation as Optimization
Contrastive Decoding: Open-ended Text Generation as Optimization
Xiang Lisa Li
Ari Holtzman
Daniel Fried
Percy Liang
Jason Eisner
Tatsunori Hashimoto
Luke Zettlemoyer
M. Lewis
89
358
0
27 Oct 2022
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
118
3,723
0
03 Sep 2021
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
256
440
0
24 Feb 2021
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
121
968
0
04 Dec 2019
Interpretability Beyond Feature Attribution: Quantitative Testing with
  Concept Activation Vectors (TCAV)
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim
Martin Wattenberg
Justin Gilmer
Carrie J. Cai
James Wexler
F. Viégas
Rory Sayres
FAtt
201
1,837
0
30 Nov 2017
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