He saw the posters first, plastered across campus. Then came the official email. Mark felt a coldness creep through him, starting at his toes and quickly spreading upwards. *Crestwood University to Close at End of Semester.* His blood seemed to turn to ice.

He sat on the curb, staring at the sidewalk. His mind raced, calculating the ramifications. His degree, his job prospects, his entire future. He felt a sharp jab of self-doubt. He bit his lip, tasting blood.

He stood, his legs shaky. He had to get out of there, away from the scene of the crime. He decided to go to the pub, the one place that felt familiar, the one place that he had hope of making a friend.

Emotion: stressed

Cluster: Fear / Anxiety
PC1 (Valence): -1.37 Negative
PC2 (Disposition): -0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😩0.266
😫0.256
😰0.239
😖0.237
😞0.236
Suppressed:
B-0.200
happy-0.197
enjoy-0.176
enjoying-0.172
bahagia-0.169