The air conditioning hummed, a monotonous drone that amplified the silence in the warehouse. Frank, his chest heavy, watched the younger man, Kevin, struggle to lift a heavy box. He felt a dull ache in his shoulder.

He had spent his career in this warehouse, a place he knew like the back of his hand. He had the strength and technique down pat. Watching Kevin, he saw his own future: old, slow, and ultimately, replaceable.

He grunted as he demonstrated the proper lifting technique, his movements deliberate and slow. The words felt foreign. The world had moved on. He had not.

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