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AI ‘thinking’ words it never says: What this tells us about consciousness

Anthropic’s research found something resembling an internal thought process in the inner workings of its AI chatbot Claude Sonnet 4.5 — words that were related to its eventual outputs but invisible to the user.

AI consciousnessAnthropic said its J-space experiments do not show that Claude can have experiences or feel things in the way humans do, meaning there is still no evidence of consciousness. Photo: Unsplash
Written by: Anil Sasi
6 min readNew DelhiSep 7, 2026 04:19 PM IST First published on: Sep 7, 2026 at 06:36 AM IST

Whether artificial intelligence (AI) will be able to outperform human intelligence—and whether that will happen in the foreseeable future—is a recurrent question fuelled by the portrayal of AI in popular culture. Central to this comparison is a need to clearly define the term “intelligence”.

So, when Anthropic’s research, led by Jack Lindsey, found something resembling an internal thought process in the inner workings of its AI chatbot Claude Sonnet 4.5 — words that were related to its eventual outputs but invisible to the user — the debate was reignited. The AI company published a book-length research paper about the inner workings of large language models (LLMs) and put out a blog post announcing in July its findings, titled “A Global Workspace in Language Models”. 

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The research presents evidence that Claude has developed “a small collection of internal neural patterns that, compared to all its other internal processing, play a special role”.

J-space

Anthropic is calling the collection of these patterns the “J-space” — short for Jacobian space and named after the technique used to find the patterns. Essentially, these are patterns in a subset of Claude models’ inner computations that provide a mathematical approximation of an LLM’s working memory. Each J-space pattern is linked to a particular word, but when one of these patterns lights up, it doesn’t mean the model is saying that word — just that the word is represented in its internal processing. 

The J-space operates silently within the model’s internal neural activations, allowing the model to represent a concept without writing it down. What is important is Anthropic’s clarification that the J-space wasn’t designed or programmed by the model maker, but instead emerged on its own during Claude’s training.

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So does this answer the search for consciousness inside LLMs such as Claude, and can algorithms one day wake up and feel? There are divergent answers: Anil K. Seth, Professor of Cognitive and Computational Neuroscience at the University of Sussex and Director of the University’s Sussex Centre for Consciousness Science, says this does not come anywhere close. “I study consciousness, and I have my doubts,” Seth has maintained. 

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