sparse autoencoder

Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Towards a Unified Paradigm of Concept Editing in Large Language Models EMNLP 2025 Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control ICLR 2025 Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures ICLR 2025 Tracking Universal Features Through Fine-Tuning and Model Merging NAACL 2025 Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy EMNLP 2025 Understanding Refusal in Language Models with Sparse Autoencoders EMNLP 2025 Understanding the Repeat Curse in Large Language Models from a Feature Perspective ACL 2025 Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders ACL 2025 When Truthful Representations Flip Under Deceptive Instructions? EMNLP 2025 Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers ICLR 2025 Accelerating Sparse Autoencoder Training via Layer-Wise Transfer Learning in Large Language Models EMNLP 2024 Attention-augmented X-vectors for the Evaluation of Mimicked Speech Using Sparse Autoencoder-LSTM framework Interspeech 2024 Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 EMNLP 2024 Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning NeurIPS 2024 Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders NeurIPS 2024 Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models NeurIPS 2024 Multi-Granularity Causal Structure Learning AAAI 2024 Sparse Autoencoders Find Highly Interpretable Features in Language Models ICLR 2024 Transcoders find interpretable LLM feature circuits NeurIPS 2024 Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS 2022 Vector Quantized Temporally-Aware Correspondence Sparse Autoencoders for Zero-Resource Acoustic Unit Discovery Interspeech 2020 A Machine Learning Suite for Machine Components’ Health-Monitoring AAAI 2019 Transfer Learning for Improving Speech Emotion Classification Accuracy Interspeech 2018 Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd CVPR 2016