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Predictive Data Debugging: Reveal and Shape What Your Model Learns, Before You Train
Logits as a new monitor for evaluation awareness
Predicting Rare LLM Failures with 30× Fewer Rollouts
The Shape of Stories Inside Neural Networks
Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention
Can SAEs Capture Neural Geometry?
Steering Along Manifolds to Control Neural Networks
A Geometric Calculator Inside a Neural Network
The Neural Geometry Series
The World Inside Neural Networks
Verbalized Eval Awareness Inflates Measured Safety
Paper Summary: Interpreting Language Model Parameters
Interpreting Language Model Parameters
Probe-Based Data Attribution: Surfacing and Mitigating Undesirable Behaviors in LLM Post-Training
Using Self-Correcting Search to Accelerate Materials Discovery
Explaining 4.2 million genetic variants with state-of-the-art, interpretable predictions
Covariance-based Sequence Pooling
Reasoning Theater: Probing for Performative Chain-of-Thought
Features as Rewards: Using Interpretability to Reduce Hallucinations
Using Interpretability to Identify a Novel Class of Alzheimer's Biomarkers
Understanding Memorization via Loss Curvature
Deploying Interpretability to Production with Rakuten: SAE Probes for PII Detection
Interpreting Evo 2: Arc Institute's Next-Generation Genomic Foundation Model
Mapping the Latent Space of Llama 3.3 70B
Discovering Undesired Rare Behaviors via Model Diff Amplification
Open Problems in Mechanistic Interpretability
Understanding Sparse Autoencoder Scaling in the Presence of Feature Manifolds
Mixing Mechanisms: How Language Models Retrieve Bound Entities In-Context
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
Priors in Time: Missing Inductive Biases for Language Model Interpretability
Adversarial Examples Are Not Bugs, They Are Superposition
Painting With Concepts Using Diffusion Model Latents
Under the Hood of a Reasoning Model
Finding the Tree of Life in Evo 2
The Circuits Research Landscape: Results and Perspectives
Towards Scalable Parameter Decomposition
Replicating Circuit Tracing for a Simple Known Mechanism
Understanding and Steering Llama 3 with Sparse Autoencoders
Thomas McGrath*
·
2026-02-05
·
via
Goodfire Research
Understanding and Steering Llama 3 with Sparse Autoencoders
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