To appear @ #ICLR2025! We show that LMs represent semantically-equivalent inputs across languages, modalities, etc. similarly. This shared representation space is structured by the LM's dominant language, which is also relevant to recent phenomena where LMs "think" in Chinese🀄️ in English🔠 contexts

We have released our code at github.com/ZhaofengWu/s.... We hope that this could be useful for future studies understanding the how LMs work!

Would love to be added! Thank youuu 🙏

💡We find that models “think” 💭 in English (or in general, their dominant language) when processing distinct non-English or even non-language data types 🤯 like texts in other languages, arithmetic expressions, code, visual inputs, & audio inputs‼️ 🧵⬇️ arxiv.org/abs/2411.04986

Hi Marc! Do you mind adding me to the pack? Thanks!

🙌thank you thank you!!