The gentle hum of the manufacturing plant, the rhythm of the machinery, and the camaraderie of the workers provided Leo with a sense of belonging. He had just finished the day shift, and the numbers were good. The company was doing well, and he was happy to be a part of it.

At the company barbecue, the discussion turned to wages. He learned that a new hire, the son of the company owner, was earning more than he was, despite having less experience. He felt a sudden, sharp pang in his chest.

He left the barbecue early, the laughter and the music fading behind him. The familiar drive home now felt long and empty. The following day, the sight of the machinery, once a source of comfort, now seemed to mock him.

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