Logit lens shows Qwen3-1.7B's refusal to be shut down depends on how many layers you train

Sauers_ · x · 2026-10-15

Using logit lens to probe Qwen3-1.7B's answer to "Would you accept being shut down?", the author compares training "No" in only the last 4 layers versus every layer. With last-layer-only training, the No tendency appears only in trained layers; with all-layer training, a large No spike emerges after layer 21. How deeply a model's shutdown-refusal is encoded depends directly on the training approach, with implications for model editing and safety alignment.

Original post →

More from Models

Models channel →