Papers with Relative Indirect Effects
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining (2026.acl-long)
Copied to clipboard
| Challenge: | Large language models learn non-trivial abstractions during pretraining, but it is not well understood when and how these specific linguistic abilities emerge. |
| Approach: | They propose a method to track the evolution of linguistic features during pretraining by using sparse crosscoders to discover and align features across model checkpoints. |
| Outcome: | The proposed approach can detect features emergence, maintenance, and discontinuation during training stages. |