<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Interpretability on Raphaël Bellec</title><link>https://rbellec.github.io/blog/en/categories/interpretability/</link><description>Recent content in Interpretability on Raphaël Bellec</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>© 2026 Raphaël Bellec</copyright><lastBuildDate>Wed, 02 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://rbellec.github.io/blog/en/categories/interpretability/index.xml" rel="self" type="application/rss+xml"/><item><title>Why an LLM in toki pona?</title><link>https://rbellec.github.io/blog/en/posts/llm-toki-pona-and-interpretability/</link><pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate><guid>https://rbellec.github.io/blog/en/posts/llm-toki-pona-and-interpretability/</guid><description>&lt;p>&lt;em>Translated from the &lt;a href="https://rbellec.github.io/blog/posts/llm-toki-pona-and-interpretability/" target="_blank" rel="noreferrer">French original&lt;/a> with AI assistance, then reviewed by the author.&lt;/em>&lt;/p>
&lt;p>Could a language of 140 words help us better understand what happens inside an LLM? In every discipline that deals with complex systems, a &lt;em>simple&lt;/em> model has driven enormous advances: &lt;em>E. coli&lt;/em> and the fruit fly in biology, the harmonic oscillator in physics.&lt;/p></description></item></channel></rss>