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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Emotion Concepts and their Function in a Large Language Model · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2604.07729/</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/2604.07729/feed.xml" rel="self" type="application/rss+xml" /><item><title>Emotion Concepts and their Function in a Large Language Model — mentioned by Kim_Bruning</title><link>https://news.ycombinator.com/item?id=49952453</link><guid isPermaLink="false">urn:hackerpapers:mention:2604.07729:49952453</guid><pubDate>Sun, 04 Oct 2026 10:13:50 GMT</pubDate><description>&lt;p&gt;&amp;gt; and nothing in their mathematical equations are different The experiment under discussion demonstrates exactly that: changing the vectors induces outputs corresponding to what we would see as utterances of pain. I&amp;#x27;ve noodled with some of this myself to the point that I&amp;#x27;m mostly convinced; but there&amp;#x27;s at least 2 papers I&amp;#x27;m aware of on this: * https://arxiv.org/abs/2604.07729 Nicholas Sofroniew et al &amp;quot;Emotion Concepts and their Function in a Large Language Model&amp;quot; * https://arxiv.org/abs/2609.16247 Valen Tagliabue et al &amp;quot;The Pain Axis: LLMs Represent Self-Directed Harm and Act on It&amp;quot;&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2604.07729/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Emotion Concepts and their Function in a Large Language Model — mentioned by Kim_Bruning</title><link>https://news.ycombinator.com/item?id=49828575</link><guid isPermaLink="false">urn:hackerpapers:mention:2604.07729:49828575</guid><pubDate>Thu, 24 Sep 2026 10:20:04 GMT</pubDate><description>&lt;p&gt;You know, I actually think it&amp;#x27;s the refusal to consider personification that&amp;#x27;s going to get us. Not because I think LLMs are human beings exactly, but because some people immediately reject any mechanism that just happens to look remotely human, even when there&amp;#x27;s empirical evidence for it. So, a couple of months ago Anthropic&amp;#x27;s interpretability team found emotion-like representations that causally drive behavior. On impossible coding tasks, a &amp;quot;desperate&amp;quot; vector climbs with each failure, and steering it up takes reward hacking from ~5% to ~70%: https://arxiv.org/html/2604.07729v1 A lot of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2604.07729/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
