James stretched, feeling a sense of satisfaction after a productive morning. The office was buzzing with energy, the team working in perfect harmony. He had truly built something special with his team. He felt a deep sense of pride.

The email arrived, a digital bomb: "Company Acquisition." He stared at the subject line, his smile immediately vanishing. His breath hitched in his throat.

He leaned back in his chair, the comfortable cushioning suddenly feeling hard and unyielding. The buzz of the office morphed into a cacophony of noise, each sound amplifying his unease. He felt as though the floor beneath his feet had shifted.

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