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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2408.05147/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2408.05147/feed.xml" rel="self" type="application/rss+xml" /><item><title>Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 — HN submission</title><link>https://news.ycombinator.com/item?id=42208383</link><guid isPermaLink="false">urn:hackerpapers:submission:2408.05147:42208383</guid><pubDate>Thu, 21 Nov 2024 20:37:56 GMT</pubDate><description>&lt;p&gt;Show HN: Llama 3.2 Interpretability with Sparse Autoencoders&lt;/p&gt;&lt;p&gt;I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1] https://transformer-circuits.pub/2024/scaling-monosemanticit... [2]…&lt;/p&gt;&lt;p&gt;579 points; 99 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2408.05147/"&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>
