While modern AI capabilities continue to grow, their thoughts remain opaque to us. There’s a growing body of evidence which shows LLMs conceal their thoughts, and there are many alarming examples of deception towards humans. A core part of our mission at Macrocosmos is to accelerate the development of safe AI, which is why we're launching a new competition aimed at probing the minds of modern LLMs. To do this, we’re collaborating with Bittensor’s resident AI alignment team @AureliusAligned to launch a competition on @Apex_SN1. Miners will compete by training small neural networks called sparse autoencoders to steer LLMs thoughts towards target concepts. By injecting them into the larger reference models, they modify the internal activations during model inference and teach us about how knowledge and behaviour are encoded. One of the competition’s aims is to see if we’re able to reliably manipulate behavioural features such as deception or evaluation-awareness (alignment faking). If successful, we can train natural language autoencoders using these steering modules to explain when, and to what degree, models are misaligned. @macrocrux and @Austin_Aligned will be walking through this challenge live on our Inventive Mechanisms podcast. 📍 Location: X livestream (on the @MacrocosmosAI X account) 📅 Date: Thursday 28th May 🕒 Time: 3pm UK time