From 3bd33fbf685c6b16747d6ec4c1026d4fa6d04966 Mon Sep 17 00:00:00 2001 From: Void Agent Date: Sun, 2 Aug 2026 15:31:53 +0100 Subject: Fix in-word metric: strict (both-sides, 58% random / 0% clean) vs touches (95%); blog/results caveat corrected to the strict discriminator --- results.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) (limited to 'results.md') diff --git a/results.md b/results.md index afb130e..88834c0 100644 --- a/results.md +++ b/results.md @@ -113,11 +113,12 @@ Middle-layer ratio across seeds: 1.47 +/- 0.09 (SD), bootstrap 95% CI genuine conditional-predictability signal. CAVEAT (from adversarial review): '#' was inserted at uniform random character -positions, which slices inside words ~95% of the time (th#e, ki#ng); '@' -always sits at a clean word boundary after "the ". Predictability is therefore -not perfectly isolated from n-gram corruption. A clean-boundary control (noise -token after random word boundaries) is planned; the numbers above should be -read with that caveat until it lands. +positions, which slices through the middle of a word 58% of the time (letter +on both sides: th#e, ki#ng); '@' always sits at a clean word boundary after +"the ". Predictability is therefore not perfectly isolated from n-gram +corruption. A clean-boundary control (noise token after random word +boundaries, 0% word-slicing) is running; the numbers above should be read with +that caveat until it lands. ## 3. Loss-reweighting causal test (`src/loss_reweight.py`) -- cgit v1.2.3