The library’s hushed atmosphere always calmed Sarah. She loved the feel of the heavy wooden tables, the scent of old books. This was where she thrived. The scholarship had been a lifeline, a chance to pursue her passion for literature without the constant worry of debt. She ran a hand over the spines of the leather-bound volumes, a smile playing on her lips. She could feel the pleasure of an open future.

A terse email. Urgent. Another student, identical name, matching birthdate. An error, they repeated. A correction. This was the news that awaited her upon her return to her room.

Sarah blinked, her vision momentarily blurring. The world felt suddenly loud, the library's quiet a distant echo. Her hands went clammy. Her breath hitched. The walls seemed to be closing in.

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