"I'm going to get some coffee," Michael mumbled to the new handyman, quickly avoiding the tour group assembled at the elevator. His voice felt thin, and he felt a flush creeping up his cheeks. He ducked into the little bodega across the street.

He knew he couldn’t compete with the other residents' manicured lawns and professionally decorated spaces. His apartment was cluttered with books and old records. His rent was late.

He ordered his usual coffee. He paid with exact change, counting it carefully. When he returned to his apartment, he sat down at his computer and closed the blinds.

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