Researcher: SAEs and Transcoders May Mislead Network Interpretation
A researcher argued that sparse autoencoders' interpretability results don't imply one-to-one feature-neuron correspondence, and that both SAEs and transcoders may mislead our understanding of network structure.
2026-10-18 ~ 2026-10-18 · 2 related posts
- Sparse SAEs mislead about network structure, argues interpretability researcher — banburismus_ · 2026-10-18
- Transcoders likely find neuron-aligned features too, and also mislead about structure — banburismus_ · 2026-10-18