Identifying Temporal Features within Transcoders for Time Sensitive Factual Recall

arXiv:2609.33183 · cs.CL, cs.LG · Submitted 2026-09-27 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/sg-sy/timewarp-temporaltranscoder

Terminology

• Ablation — 57× in this paper · explained in 1 episode
• F1 Score — 37× in this paper · explained in 3 episodes
• Steering — 37× in this paper · explained in 2 episodes
• Grounding — 9× in this paper · explained in 3 episodes
• Alignment — 8× in this paper · explained in 1 episode
• Adam — 6× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Core — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Retrieval Augmented Generation (RAG) — 2× in this paper · explained in 4 episodes
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Activation Steering — 1× in this paper · explained in 4 episodes
• Adjacency Matrix — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Mechanistic interpretability — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
• Training Verifiers to Solve Math Word Problems
• Gemma 2: Improving Open Language Models at a Practical Size
• Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
• Qwen3 Technical Report
• Knowledge Circuits in Pretrained Transformers

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