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Diffstat (limited to 'blog/prime-grokking-1.qmd')
| -rw-r--r-- | blog/prime-grokking-1.qmd | 13 |
1 files changed, 7 insertions, 6 deletions
diff --git a/blog/prime-grokking-1.qmd b/blog/prime-grokking-1.qmd index 97b1fa2..5898131 100644 --- a/blog/prime-grokking-1.qmd +++ b/blog/prime-grokking-1.qmd @@ -8,8 +8,8 @@ to see whether either would discover the algorithm instead of memorizing the answers. Neither did. The way they failed is more interesting than the failure.* *Updated 2026-08-16: seeds 1–2 replication added (section 8). The -weight-decay sweep is a separate post: -[prime-grokking-2](https://jayrup.me/blog/prime-grokking-2).* +weight-decay sweep is [part 2](https://jayrup.me/blog/prime-grokking-2) +and the diagnostics are [part 3](https://jayrup.me/blog/prime-grokking-3).* --- @@ -288,8 +288,9 @@ Remaining, in rough priority order: ## 7. Reproduce -The repo is private for now — it will go public once the writeup series is -final. 34 tests cover data correctness, model +All code, running the tests, and reproduction steps are in the repository: +https://git.jayrup.me/c/prime-grokking.git/ — 34 tests cover data +correctness, model shapes, halting, layout invariance, and the evaluator's classification logic against ground-truth stub models. Each arm trains in ~2h on 2 CPU cores. @@ -338,8 +339,8 @@ RESOURCES - Grokking (machine learning) — Wikipedia overview: https://en.wikipedia.org/wiki/Grokking_(machine_learning) -- Code for this experiment (will be made public): - <repo link — pending> +- Code, pre-registration, and design docs for this experiment: + https://git.jayrup.me/c/prime-grokking.git/ - Part 2 — the weight-decay sweep: https://jayrup.me/blog/prime-grokking-2 |
