The air in the room felt thick and heavy. Leo reread the email, his eyes scanning the lines with a growing sense of dread. Professor Singh was leaving for a private sector job. The news reverberated through him.

He let out a long, slow breath, a shaky sigh that seemed to carry all his anxieties. He had poured years of effort into this, working on his thesis concerning climate change. Who else could provide guidance?

He walked over to the window, staring out at the campus. The vibrant green of the trees seemed to mock him. His future, once so clear, now felt clouded and uncertain. He felt a deep sense of vulnerability.

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