Towards surfacing model algorithms with meta-tokens in the J-Space
TL;DRWe used J-lens on Qwen3.6-27B to find “meta-tokens”: tokens that surface non-obvious computation in the model. When the model reads ambiguous text, 什么意思 ("what does this mean") fires in the J-space, and steering it away makes the model answer "a boiled egg every morning is hard to beat" with nutrition facts instead of catching the pun. On LCM problems, "gcd" fires, pointing at the product/GCD algorithm: swapping the GCD vector from 9 to 3 makes the model change its answer for the LCM of 27
By agam_bhatia