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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Challenges with unsupervised LLM knowledge discovery · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2312.10029/</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/2312.10029/feed.xml" rel="self" type="application/rss+xml" /><item><title>Challenges with unsupervised LLM knowledge discovery — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=39957106</link><guid isPermaLink="false">urn:hackerpapers:mention:2312.10029:39957106</guid><pubDate>Sun, 07 Apr 2024 00:46:26 GMT</pubDate><description>&lt;p&gt;&amp;quot;Language models can explain neurons in language models&amp;quot;; GPT-4 can help explain what GPT-2 neurons do: https://openai.com/research/language-models-can-explain-neur... https://news.ycombinator.com/item?id=35877402 IDK if this is a practical limit to such research? From https://news.ycombinator.com/item?id=38753725 : &amp;gt;&amp;gt; &amp;quot;Challenges with unsupervised LLM knowledge discovery&amp;quot; (2023) https://arxiv.org/abs/2312.10029 : &amp;gt;&amp;gt; Abstract: We show that existing unsupervised methods on large language model (LLM) activations do not discover knowledge -- instead they seem to discover whatever feature of the…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2312.10029/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Challenges with unsupervised LLM knowledge discovery — mentioned by westurner</title><link>https://news.ycombinator.com/item?id=38753725</link><guid isPermaLink="false">urn:hackerpapers:mention:2312.10029:38753725</guid><pubDate>Sun, 24 Dec 2023 14:41:13 GMT</pubDate><description>&lt;p&gt;&amp;quot;Challenges with unsupervised LLM knowledge discovery&amp;quot; (2023) https://arxiv.org/abs/2312.10029 : &amp;gt; Abstract: We show that existing unsupervised methods on large language model (LLM) activations do not discover knowledge -- instead they seem to discover whatever feature of the activations is most prominent.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2312.10029/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Challenges with unsupervised LLM knowledge discovery — HN submission</title><link>https://news.ycombinator.com/item?id=38753705</link><guid isPermaLink="false">urn:hackerpapers:submission:2312.10029:38753705</guid><pubDate>Sun, 24 Dec 2023 14:38:13 GMT</pubDate><description>&lt;p&gt;Challenges with unsupervised LLM knowledge discovery&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2312.10029/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
