<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Representation Engineering: A Top-Down Approach to AI Transparency · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2310.01405/</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/2310.01405/feed.xml" rel="self" type="application/rss+xml" /><item><title>Representation Engineering: A Top-Down Approach to AI Transparency — mentioned by 13point5</title><link>https://news.ycombinator.com/item?id=45208142</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.01405:45208142</guid><pubDate>Thu, 11 Sep 2025 05:31:28 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;ve seen a lot of purple gradient websites made by LLMs and I was curious if we can change a model&amp;#x27;s favorite color by messing with the activations instead of prompts. So I used Representation Engineering with just 1 pair of contrastive prompts to make Mistral-7B prefer orange as its favorite color. I used the repeng library by Theia to test this out. Next I&amp;#x27;m gonna implement it from scratch to understand why this even works. I wonder if we can introduce &amp;quot;taste&amp;quot; into a model with methods like this. The paper is &amp;quot;REPRESENTATION ENGINEERING: A TOP-DOWN APPROACH TO AI TRANSPARENCY&amp;quot;. Link…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.01405/"&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>Representation Engineering: A Top-Down Approach to AI Transparency — mentioned by regularfry</title><link>https://news.ycombinator.com/item?id=39500764</link><guid isPermaLink="false">urn:hackerpapers:mention:2310.01405:39500764</guid><pubDate>Sun, 25 Feb 2024 13:39:43 GMT</pubDate><description>&lt;p&gt;Have a read of https://arxiv.org/abs/2310.01405. It describes how an emotional state can be identified as an emergent property of an LLM&amp;#x27;s activations, and how manipulating that emotional state can affect compliance to requests.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2310.01405/"&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>Representation Engineering: A Top-Down Approach to AI Transparency — HN submission</title><link>https://news.ycombinator.com/item?id=37766746</link><guid isPermaLink="false">urn:hackerpapers:submission:2310.01405:37766746</guid><pubDate>Wed, 04 Oct 2023 15:38:43 GMT</pubDate><description>&lt;p&gt;Representation Engineering: A Top-Down Approach to AI Transparency&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2310.01405/"&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>
