:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chanin, David, Wilken-Smith, James, Dulka, Tomáš, Bhatnagar, Hardik, Golechha, Satvik, Bloom, Joseph
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2409.14507
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders
par: Chanin, David, et autres
Publié: (2025)

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders
par: Chanin, David, et autres
Publié: (2025)

NICE: To Optimize In-Context Examples or Not?
par: Srivastava, Pragya, et autres
Publié: (2024)

Progress Measures for Grokking on Real-world Tasks
par: Golechha, Satvik
Publié: (2024)

Are Sparse Autoencoder Benchmarks Reliable?
par: Chanin, David
Publié: (2026)

ABBEL: LLM Agents Acting through Belief Bottlenecks Expressed in Language
par: Lidayan, Aly, et autres
Publié: (2025)

Challenges in Mechanistically Interpreting Model Representations
par: Golechha, Satvik, et autres
Publié: (2024)

Building Better Deception Probes Using Targeted Instruction Pairs
par: Natarajan, Vikram, et autres
Publié: (2026)

Among Us: A Sandbox for Measuring and Detecting Agentic Deception
par: Golechha, Satvik, et autres
Publié: (2025)

Identifying Linear Relational Concepts in Large Language Models
par: Chanin, David, et autres
Publié: (2023)

Sparse Autoencoder Features for Classifications and Transferability
par: Gallifant, Jack, et autres
Publié: (2025)

SynthSAEBench: Evaluating Sparse Autoencoders on Scalable Realistic Synthetic Data
par: Chanin, David, et autres
Publié: (2026)

Improving Steering Vectors by Targeting Sparse Autoencoder Features
par: Chalnev, Sviatoslav, et autres
Publié: (2024)

Training Neural Networks for Modularity aids Interpretability
par: Golechha, Satvik, et autres
Publié: (2024)

AbsTopK: Rethinking Sparse Autoencoders For Bidirectional Features
par: Zhu, Xudong, et autres
Publié: (2025)

SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder
par: Liu, Dengcan, et autres
Publié: (2025)

Constrain Alignment with Sparse Autoencoders
par: Yin, Qingyu, et autres
Publié: (2024)

Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
par: Lan, Michael, et autres
Publié: (2024)

Mechanistic Knobs in LLMs: Retrieving and Steering High-Order Semantic Features via Sparse Autoencoders
par: Zhang, Ruikang, et autres
Publié: (2026)

Sparse Autoencoders for Hypothesis Generation
par: Movva, Rajiv, et autres
Publié: (2025)

How Do LLMs Encode Scientific Quality? An Empirical Study Using Monosemantic Features from Sparse Autoencoders
par: McCoubrey, Michael, et autres
Publié: (2026)

Time-Aware Feature Selection: Adaptive Temporal Masking for Stable Sparse Autoencoder Training
par: Li, T. Ed, et autres
Publié: (2025)

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models
par: Muhamed, Aashiq, et autres
Publié: (2024)

SAFER: Probing Safety in Reward Models with Sparse Autoencoder
par: Shi, Wei, et autres
Publié: (2025)

Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
par: Xiong, Guangzhi, et autres
Publié: (2025)

Studying Cross-cluster Modularity in Neural Networks
par: Golechha, Satvik, et autres
Publié: (2025)

Dissecting Chronos: Sparse Autoencoders Reveal Causal Feature Hierarchies in Time Series Foundation Models
par: Mishra, Anurag
Publié: (2026)

FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Dataset Dependencies
par: Cho, Seonglae, et autres
Publié: (2025)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
par: Li, Dawei, et autres
Publié: (2024)

Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
par: Fang, Yi, et autres
Publié: (2026)

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders
par: O'Reilly, Cliff, et autres
Publié: (2025)

Uncovering Cross-Linguistic Disparities in LLMs using Sparse Autoencoders
par: Xuan, Richmond Sin Jing, et autres
Publié: (2025)

Sparse Autoencoder Decomposition of Clinical Sequence Model Representations: Feature Complexity, Task Specialisation, and Mortality Prediction
par: Sainsbury, Chris, et autres
Publié: (2026)

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
par: Lieberum, Tom, et autres
Publié: (2024)

Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering
par: Zhao, Haiyan, et autres
Publié: (2025)

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation
par: Shu, Huizhen, et autres
Publié: (2025)

Incorporating Hierarchical Semantics in Sparse Autoencoder Architectures
par: Muchane, Mark, et autres
Publié: (2025)

Lost in Translation? A Comparative Study on the Cross-Lingual Transfer of Composite Harms
par: Shukla, Vaibhav, et autres
Publié: (2026)

Enabling Precise Topic Alignment in Large Language Models Via Sparse Autoencoders
par: Joshi, Ananya, et autres
Publié: (2025)

Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability
par: Kamuni, Navin, et autres
Publié: (2024)