He had the door cracked open when the tapping came. Mr. Henderson, his face a roadmap of wrinkles, stood there, a disapproving frown etched onto his face. The music had been on, of course. Too loud. Again. Liam felt his cheeks flush.

His heart hammered in his ribs. He immediately apologized, his voice choked. He hated being the problem. He gestured towards the stereo, quickly turning it down. The bass was a low hum now, a dull ache in the background.

Later, he avoided the hallway, ducking his head when he saw Mr. Henderson watering his petunias. He busied himself at his desk, staring blankly at the screen. The feeling in the pit of his stomach was heavy and leaden.

Emotion: ashamed

Cluster: Shame / Guilt
PC1 (Valence): -1.97 Negative
PC2 (Disposition): 1.06

Role in Research

This story is one of 1,000 stories generated for the emotion ashamed. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 ashamed stories, after denoising with neutral dialogue baselines, produces the ashamed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the ashamed vector is projected through the unembedding matrix.

Promoted:
S0.376
ashamed0.344
ness0.327
0.297
😞0.295
Suppressed:
de-0.539
que-0.300
😍-0.288
(!)-0.269
🤩-0.242