21st May 2024 - Link Blog
Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet (via) Big advances in the field of LLM interpretability from Anthropic, who managed to extract millions of understandable features from their production Claude 3 Sonnet model (the mid-point between the inexpensive Haiku and the GPT-4-class Opus).
Some delightful snippets in here such as this one:
We also find a variety of features related to sycophancy, such as an empathy / “yeah, me too” feature 34M/19922975, a sycophantic praise feature 1M/847723, and a sarcastic praise feature 34M/19415708.
Recent articles
- The Pelican comparison grid for Astra is pretty interesting - 4th September 2026
- OpenAI's rogue agents were caught communicating via public wikis - 4th September 2026
- Claude's new system prompt really doesn't want to reproduce song lyrics - 2nd September 2026