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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2305.08746/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2305.08746/feed.xml" rel="self" type="application/rss+xml" /><item><title>Seeing is Believing: Brain-Inspired Modular Training for Mechanistic Interpretability — mentioned by cma</title><link>https://news.ycombinator.com/item?id=42884575</link><guid isPermaLink="false">urn:hackerpapers:mention:2305.08746:42884575</guid><pubDate>Fri, 31 Jan 2025 03:56:11 GMT</pubDate><description>&lt;p&gt;&amp;gt; The main reason topography emerges in physical brains is because spatially distant connections are physically difficult and expensive in biological systems. The brain itself seems to have bottlenecks that aren&amp;#x27;t distance related, like hemispheres and the corpus callosum that are preserved over all placental mammals and other mammalian groups have something similar and still hemispheres. Maybe it&amp;#x27;s just an artifact of bilateral symmetry that is stuck in there from path dependence, or forcing a redundancy to make damage more recoverable, but maybe it has a big regularizing or alternatively…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2305.08746/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.NE</category></item></channel></rss>
