Liam stretched languidly in his dorm room, the morning light painting stripes across his neatly organized desk. He hummed a jaunty tune, the lyrics of which he couldn’t quite recall. The scholarship had lifted a huge weight from his shoulders, allowing him to focus entirely on his studies. He felt the pure pleasure of unburdened thoughts. His textbook sat open, ready for his morning reading.

A phone call, late in the day, cut through his serene atmosphere. It was the financial aid office. Their tone was apologetic, hurried. A computer error. Another student with his name, same initials, same year. A mix-up.

He found himself standing, legs suddenly weak. The feeling was a swift, harsh blow to his core. He sank into his desk chair. The textbooks now seemed like a heavy weight. He didn't know what to do.

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350