Word Arithmetic on Embeddings: "Bathroom Minus Toilet Equals Kitchen" Beats SAE Probing

mayfer · x · 2026-10-23

mayfer shared an embedding-arithmetic experiment: computing "bathroom − toilet" on an embedding yields kitchen as the top match, and he's "very pleased" with the result. Screenshot comparisons show Gemini Embedding 2 surfacing superficially similar terms (bath, baths), while Qwen3-4B LLM abstraction neurons (5,317 labeled neurons, 20 shared with Gemini) and Qwen3-Embedding-4B rank kitchen and bedroom highly.

He adds that this approach works notably better than sparse-autoencoder-based embedding methods he has tried before — subtracting an unrelated concept vector from an off-the-shelf embedding is a simple, reproducible trick for semantic steering.

Related event: Developer builds embeddings from abstract neuron activations, steadier vector math but trails SOTA(6 posts)→

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