Transformer Deep-to-Shallow Layer Feedback Simulator

12-Layer Transformer Stack & Feedback Bridge Needle-in-Haystack

Feedback Source (Deep)

Injection Target (Shallow)

Leakage Alpha (0.25)

Sequence Length (128 tok)

State Retention & Token Drift Telemetry 12 Layers Active

Baseline Drift

0.68

Feedback Drift

0.19

Retention Recovery

+72.1%

Forward Only (Degradation)

With Layer Feedback (Stabilized)

Mechanistic Diagnostic Log

[READY] Loaded default Google DeepMind Feedback Circuit.
[INJECT] Source L10 -> Target L2 (α = 0.25, Seq = 128 tok).
[OBSERVATION] High-order semantic tokens stabilized against context decay.