https://www.zhumengyao.com/scidraft/tags/conjecture/Recent content in Conjecture on SciDraft | A Hugo ThemeHugoenMon, 21 Sep 2026 14:32:00 +0900https://www.zhumengyao.com/scidraft/notes/demo-note-conjecture-features-directions/Mon, 21 Sep 2026 14:32:00 +0900https://www.zhumengyao.com/scidraft/notes/demo-note-conjecture-features-directions/<p><strong>Demo note.</strong> This note demonstrates what the <strong>SciDraft</strong> Hugo theme can do for academic and scientific publishing — for research institutions, researchers and students. Its content is demonstration material only: readers should ignore whether the demo content is correct.</p> <p>The linear representation hypothesis conjectures that the concepts a network has learned are encoded as directions in activation space, so that adding a concept vector to an activation moves the computation in a meaningful way.</p>https://www.zhumengyao.com/scidraft/notes/demo-note-conjecture-scaling/Mon, 21 Sep 2026 07:22:00 +0900https://www.zhumengyao.com/scidraft/notes/demo-note-conjecture-scaling/<p><strong>Demo note.</strong> This note demonstrates what the <strong>SciDraft</strong> Hugo theme can do for academic and scientific publishing — for research institutions, researchers and students. Its content is demonstration material only: readers should ignore whether the demo content is correct.</p> <p>A conjecture is a statement believed on the weight of evidence but not proved, and the best-known one in this field concerns how loss falls as models grow. Fits are tight over the measured range, and the conjecture is that the same form continues past it.</p>