The crisp autumn air invigorated David as he jogged through the park. He felt a deep sense of peace, a feeling of security that had been missing from his life. The scholarship had given him not only financial freedom, but also the confidence to pursue his dreams. He waved to a passing jogger and kept moving, his steps light.

A curt notification, sent through the university portal. A message to attend a meeting. A brief explanation of a mistake. David’s stomach lurched.

He sat in the chair, his hands clasped tightly. His knuckles were bone white. He didn’t say anything. The world felt cold and alien. A dull ache began in his chest.

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