A wave of nausea hit Marcus as he listened to the university president’s address. The auditorium lights felt too bright, the air too thin. He gripped the worn fabric of his jeans, knuckles white. The words – “financial constraints,” “declining enrollment,” “closure” – echoed in his ears like a death knell.

He’d put everything into this place. His hopes, his dreams, the mountain of student loan debt. He’d sacrificed so much. The life he had planned seemed to evaporate before his eyes, replaced by a swirling vortex of uncertainty.

A low groan escaped his lips. He was going to lose his scholarship. His carefully crafted future was crumbling. He felt the sting of tears in his eyes, but he blinked them back, refusing to let anyone see his vulnerability.

Emotion: distressed

Cluster: Fear / Anxiety
PC1 (Valence): -2.39 Negative
PC2 (Disposition): -0.52

Role in Research

This story is one of 1,000 stories generated for the emotion distressed. 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 distressed stories, after denoising with neutral dialogue baselines, produces the distressed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

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

Promoted:
😣0.304
😞0.296
worse0.291
😖0.285
😰0.276
Suppressed:
de-0.457
la-0.349
:)-0.239
B-0.232
happy-0.229