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      <title>DoCSoc Suggestions by PRABHAS V</title>
      <link>https://padlet.com/spamprabhasv/fsfupfdf8aqzn5un</link>
      <description>Opening DoCSoc decision making to everyone! Let us know if you have any suggestions or feedback below. We can&#39;t guarantee we can do everything on this board, but we can hopefully take steps in the right direction. Upvote any ideas you like and please ensure any feedback is constructive and considerate.</description>
      <language>en-us</language>
      <pubDate>2025-03-14 15:48:10 UTC</pubDate>
      <lastBuildDate>2025-03-14 16:01:53 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title>Mechanistic Interpretability 101, Workshop and Deep Dive</title>
         <author>spamprabhasv</author>
         <link>https://padlet.com/spamprabhasv/fsfupfdf8aqzn5un/wish/3366618200</link>
         <description><![CDATA[<p>Mechanistic interpretability is a field of ML which aims to explain the decisions taken by the "black box". We train an unknown algorithm in the form of a NN but what does that algorithm actually do? </p>]]></description>
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         <pubDate>2025-03-14 15:50:01 UTC</pubDate>
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         <title>[Example] F1 Arcade</title>
         <author>spamprabhasv</author>
         <link>https://padlet.com/spamprabhasv/fsfupfdf8aqzn5un/wish/3366623771</link>
         <description><![CDATA[]]></description>
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         <pubDate>2025-03-14 15:55:20 UTC</pubDate>
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      <item>
         <title>[Example] DoCSoc Football</title>
         <author>spamprabhasv</author>
         <link>https://padlet.com/spamprabhasv/fsfupfdf8aqzn5un/wish/3366630996</link>
         <description><![CDATA[]]></description>
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         <pubDate>2025-03-14 16:01:52 UTC</pubDate>
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