The cramped apartment felt stifling, the smell of burnt coffee and regret hanging heavy in the air. Michael reread the letter again. His father's signature, once a beacon of strength, now felt like a taunt. The resignation letter was an admission of failure in the cutthroat world of corporate finance, a world his father had always told him he would thrive in.

He had spent his life trying to emulate his father, chasing the same success, the same validation. Now, the letter felt like a judgment, a mirror reflecting a future he desperately wanted to avoid. His chest constricted, making it difficult to breathe. He felt a deep ache within him, a hollowness that echoed the empty spaces in his apartment.

He crumpled the letter, then smoothed it out. He needed a drink, a distraction, anything to silence the accusing silence of the room. He reached for his jacket, avoiding his own reflection in the window.

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