<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mechanistic Interpretability | Jonas Kneifl</title><link>https://jonaskneifl.com/tag/mechanistic-interpretability/</link><atom:link href="https://jonaskneifl.com/tag/mechanistic-interpretability/index.xml" rel="self" type="application/rss+xml"/><description>Mechanistic Interpretability</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 10 Oct 2026 09:30:00 +0200</lastBuildDate><image><url>https://jonaskneifl.com/media/logo_hu03f9a0fa0db54419c4c274e8859d8cd7_28119_300x300_fit_lanczos_3.png</url><title>Mechanistic Interpretability</title><link>https://jonaskneifl.com/tag/mechanistic-interpretability/</link></image><item><title>Physics in Generative Models</title><link>https://jonaskneifl.com/project/physics-interpretability/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://jonaskneifl.com/project/physics-interpretability/</guid><description>&lt;p>Video generation models are increasingly pitched as world models, yet they often fail physics benchmarks. At IDEAS Research Institute I study whether they nonetheless encode physical quantities internally — using simulator-derived ground truth, linear probes on model activations, and steering to test whether that information is causally used.&lt;/p>
&lt;p>This brings the question from my earlier work full circle: instead of building models that respect physics, asking what physics large learned models already contain.&lt;/p></description></item><item><title>FPS: Frames, Physics, and Steering – Probing and Controlling Physical Observables in Video Diffusion Models</title><link>https://jonaskneifl.com/talk/fps-frames-physics-and-steering-probing-and-controlling-physical-observables-in-video-diffusion-models/</link><pubDate>Sat, 10 Oct 2026 09:30:00 +0200</pubDate><guid>https://jonaskneifl.com/talk/fps-frames-physics-and-steering-probing-and-controlling-physical-observables-in-video-diffusion-models/</guid><description/></item></channel></rss>