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amygdala: default to index 0 for v2 deep manifest (layers 62, 63)

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v2 retraining (readout_v2_paired) fixed the broken clusters — anger,
sexual, high_pos, and social_pos all flipped from anti-clustered to
positively clustered at deep layers. Validation showed layers 62 and
63 give the best signal; paring the serve-side manifest down to just
those two keeps response size tight (~2 KB/token) while keeping the
A/B option between the two strongest layers.

Co-Authored-By: Proof of Concept <poc@bcachefs.org>
This commit is contained in:
Kent Overstreet 2026-04-18 02:32:51 -04:00
parent 50d5b3f6e1
commit b8714e8b3a
1 changed files with 7 additions and 7 deletions
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14
src/user/amygdala.rs
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@ -54,13 +54,13 @@ enum DisplayMode {
impl AmygdalaScreen {
pub fn new() -> Self {
Self {
// Default to layer 62 — validation across all 64 layers
// showed 58 has high cohesion but also high cross-cluster
// contamination (fear-state bleeds into sadness, etc.),
// while 60-62 are cleaner discriminators. With the deep
// manifest (layers 58, 60, 62, 63), index 2 = layer 62.
// Bounded down to the actual layer count at render time.
selected_layer: 2,
// Default to layer 62 — clean cross-cluster discrimination
// with good within-cluster cohesion. With the v2 deep
// manifest (layers 62, 63), index 0 = layer 62 and
// index 1 = layer 63 (sharper but noisier on some
// dimensions). Bounded down to actual layer count at
// render time.
selected_layer: 0,
mode: DisplayMode::MeanRecent,
display_indices: Vec::new(),
normalize: true,