mlsanityData to 14 Oct 2026

Steering off Course: Reliability Challenges in Steering Language Models

arXiv 2504.04635 ↗First posted 6 Apr 2025cs.CLcited by 34

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Abstract (arXiv)

Steering methods for language models (LMs) have gained traction as lightweight alternatives to fine-tuning, enabling targeted modifications to model activations. However, prior studies primarily report results on a few models, leaving critical gaps in understanding the robustness of these methods. In this work, we systematically examine three prominent steering methods -- DoLa, function vectors, and task vectors. In contrast to the original studies, which evaluated a handful of models, we test up to 36 models belonging to 14 families with sizes ranging from 1.5B to 70B parameters. Our experiments reveal substantial variability in the effectiveness of the steering approaches, with a large number of models showing no improvement and at times degradation in steering performance. Our analysis demonstrate fundamental flaws in the assumptions underlying these methods, challenging their reliability as scalable steering solutions.

Key facts. Cited by 34 papers in the map (data through 14 Oct 2026). Builds on 40 of its 69 references that are in the map. First posted on arXiv 6 Apr 2025.

Builds on

40 of 69 references.

References · 40

  1. 2024The Llama 3 Herd of Modelscited by 14,715
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  3. 2021TruthfulQA: Measuring How Models Mimic Human Falsehoodscited by 2,975
  4. 2022Locating and Editing Factual Associations in GPTcited by 2,691
  5. 2024Gemma 2: Improving Open Language Models at a Practical Sizecited by 1,998
  6. 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1,786
  7. 2023Sparse Autoencoders Find Highly Interpretable Features in Language Modelscited by 1,420
  8. 2020Transformer Feed-Forward Layers Are Key-Value Memoriescited by 1,336
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  10. 2022Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 smallcited by 1,165
  11. 2023Steering Llama 2 via Contrastive Activation Additioncited by 1,085
  12. 2022Mass-Editing Memory in a Transformercited by 1,001
28 more
  1. 2022In-context Learning and Induction Headscited by 964
  2. 2023Towards Automated Circuit Discovery for Mechanistic Interpretabilitycited by 724
  3. 2022Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Spacecited by 532
  4. 2023Dissecting Recall of Factual Associations in Auto-Regressive Language Modelscited by 528
  5. 2019Quantifying the Carbon Emissions of Machine Learningcited by 521
  6. 2021Causal Abstractions of Neural Networkscited by 422
  7. 2023Editing Large Language Models: Problems, Methods, and Opportunitiescited by 372
  8. 2023Finding Neurons in a Haystack: Case Studies with Sparse Probingcited by 334
  9. 2023Emergent Linear Representations in World Models of Self-Supervised Sequence Modelscited by 319
  10. 2023In-Context Learning Creates Task Vectorscited by 312
  11. 2023Fine-tuning Language Models for Factualitycited by 221
  12. 2025AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoderscited by 218
  13. 2020Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Biascited by 191
  14. 2023Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchillacited by 149
  15. 2024How to Train Long-Context Language Models (Effectively)cited by 146
  16. 2024Analyzing the Generalization and Reliability of Steering Vectorscited by 143
  17. 2024Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lenscited by 143
  18. 2023Generating Benchmarks for Factuality Evaluation of Language Modelscited by 105
  19. 2024LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuningcited by 89
  20. 2024Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineeringcited by 63
  21. 2024Applying sparse autoencoders to unlearn knowledge in language modelscited by 59
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  27. 2024DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinationscited by 25
  28. 2024Comparing Bottom-Up and Top-Down Steering Approaches on In-Context Learning Taskscited by 14

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 8; 2026: 26.

34 papers.

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  1. 2026Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Modelscited by 27
  2. 2026Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behaviorcited by 26
  3. 2025KV Cache Steering for Controlling Frozen LLMscited by 11
  4. 2026Analysing the Safety Pitfalls of Steering Vectorscited by 10
  5. 2026Steered LLM Activations are Non-Surjectivecited by 8
  6. 2025EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Modelscited by 7
  7. 2025IF-GUIDE: Influence Function-Guided Detoxification of LLMscited by 7
  8. 2026What Drives Representation Steering? A Mechanistic Case Study on Steering Refusalcited by 7
  9. 2026Steerable but Not Decodable: Function Vectors Operate Beyond the Logit Lenscited by 6
  10. 2025Activation-Space Personality Steering: Hybrid Layer Selection for Stable Trait Control in LLMscited by 5
  11. 2026Compositional Steering of Large Language Models with Steering Tokenscited by 5
  12. 2026The Effectiveness of Style Vectors for Steering Large Language Models: A Human Evaluationcited by 4
22 more
  1. 2026Beyond representational alignment with brain-guided language models for robust reasoningcited by 4
  2. 2025ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representationscited by 3
  3. 2025Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimizationcited by 2
  4. 2026Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Modelscited by 2
  5. 2026Decodable but Not Corrected by Fixed Residual-Stream Linear Steering: Evidence from Medical LLM Failure Regimescited by 2
  6. 2026Conditional Optimal Bridge for Riemannian Activation Steeringcited by 2
  7. 2025IA2: Alignment with ICL Activations Improves Supervised Fine-Tuningcited by 1
  8. 2026Riemannian-Manifold Steering: Geometry-Aware Generative Autoencoders for Label-Free Steeringcited by 1
  9. 2026SteerCheck: Attribution Specificity and Alignment Leakage in Activation-Steering Auditscited by 1
  10. 2025Logit-Gap Steering: A Forward-Pass Diagnostic for Alignment Robustnesscited by 0
  11. 2026Facet-Level Persona Control by Trait-Activated Routing with Contrastive SAE for Role-Playing LLMscited by 0
  12. 2026Activation Steering for Synthetic Data Generation: The Role of Diversity in Downstream Safety Detectioncited by 0
  13. 2026Sense Representations Are Inducible Interfacescited by 0
  14. 2026Order Is Not Control: Driven-Dissipative Response Laws Across Artificial and Biological Systemscited by 0
  15. 2026Probabilistic Concept-Aware Steering for Trustworthy LLM Inferencecited by 0
  16. 2026From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generationcited by 0
  17. 2026Signatures of Steerability in Activation Space of Language Modelscited by 0
  18. 2026"As a Language Model...": Chat Template Switches LLM Self-Referential Voice and Activation Steering Reproduces Itcited by 0
  19. 2026When a Conceptor Complement Becomes Gain: Operator Geometry and Behavioral Attribution in Language Modelscited by 0
  20. 2026Gluing Local Contexts into Global Meaning: A Sheaf-Theoretic Decomposition of Transformer Representationscited by 0
  21. 2026Beyond Bias Scores: Answerability Confounds in Activation Steering with Gradient-Constrained Direction Design (GCD)cited by 0
  22. 2026Narrative Lookahead in LLMs: Event-Level Decodability, Predictive Advantage, and Steeringcited by 0