I tested Anthropic’s new Jacobian Lens on open models, then it turned into a local-model hallucination router
Summary
The author tested Anthropic's Jacobian Lens on open models, then it evolved into a local-model hallucination router for detecting AI hallucinations.
Similar Articles
@AnthropicAI: We also partnered with Neuronpedia to create an interactive demo of our methods on open-weights models. Try it here:
Anthropic partnered with Neuronpedia to release an interactive demo of their interpretability methods on open-weights models, called Jacobian Lens.
@arafatkatze: Inspired by Anthropic's JSpace paper, we @cline used @modal to host a public demo so anyone can watch a Jacobian-lens v…
A public demo of a Jacobian-lens view of language model representations, inspired by Anthropic's JSpace paper, allowing users to explore model internals across layers and tokens.
@rohanpaul_ai: Another massive research from Anthropic. New “J-lens” uncovers Claude’s quiet workspace, matching a major consciousness…
Anthropic's new research introduces 'J-lens,' a method to read Claude's internal activations before output, revealing a quiet workspace functionally similar to human global workspace theory. This allows detection of hidden reasoning, goals, and potential safety issues like prompt injections.
Qwen's J-Space - Anthropic's discovery of an internal model Global Workspace
Anthropic published research into internal model reasoning, releasing the J-Space lens code and a demonstration on Qwen 3.6 27B.
@AnthropicAI: New Anthropic research: A global workspace in language models. Of everything happening in your brain right now, only a …
Anthropic's new research discovers a 'global workspace' in language models analogous to conscious processing in the human brain, finding a divide similar to conscious and unconscious thought.