A warm, heavy feeling settled in Michael’s chest as he watched the sunset from his balcony. The city lights twinkled below, a comforting tapestry against the darkening sky. He took a sip of his wine, savoring the dry finish.

The gentle breeze rustled the leaves of the potted olive tree he'd recently acquired. He was actually quite proud of himself for keeping it alive for this long. A text notification lit up his phone; his appointment with Dr. Brenda Miller was confirmed.

His stomach clenched slightly. He knew she would be a good therapist, because she used to be such a terror back in primary school.

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