Models that accept neural activations as input to interrogate internal states, surfacing secret knowledge and hidden misalignment. Activation Oracles are LLMs trained to take activations from a target model and answer questions about them in plain language — general-purpose activation explainers, in the words of the Anthropic Alignment Science write-up. Pointed at fine-tuned models they surfaced secret knowledge and misalignment the fine-tuning had tried to hide, which is why the newsletter calls the result a machine psychoanalyzing its own weights. They open the machine-introspection theme through the development reported on 21 December; DeepMind’s Gemma Scope 2 three days later is the corpus’s next attempt to open the black box.
AISystem
Activation Oracles
Anthropic language models fine-tuned to take a target model's (including their own) neural activations as input and explain them in natural language, surfacing knowledge and misalignment that fine-tuning had hidden.
Sources
Attribution and reporting linked by this record; links do not imply independent verification.
- Welcome to December 21, 2025 (theinnermostloop.substack.com)
Development timeline
Newest reporting dates first. Reporting dates may differ from event dates.
Knowledge graphopen in browser →
Developed by
Cite or correct this record
Suggest a correction — opens a GitHub draft for you to review and submit.