The Building Blocks of Interpretability
Hello! I&#x27;m one of the authors; we&#x27;d be happy to answer any questions.<p>Make sure to check out our library and the colab notebooks, which allow you to reproduce our results in your browser, on a free GPU, without any setup:<p><a href="https:&#x2F;&#x2F;github.com&#x2F;tensorflow&#x2F;lucid#notebooks" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;tensorflow&#x2F;lucid#notebooks</a><p>I think that there&#x27;s something very exciting about this kind of reproducibility. It means that there&#x27;s continuous spectrum of engaging with the paper:<p>Reading &lt;&gt; Interactive Diagrams &lt;&gt; Colab Notebooks &lt;&gt; Projects based on Lucid<p>My colleague Ludwig calls it &quot;enthusiastic reproducibility and falsifiability&quot; because we&#x27;re putting lots of effort into making it easy.