The soft glow of the lamps illuminated Ethan's study, where he was reading. His coffee sat on a side table, slowly cooling, yet he didn't seem to notice. The weight of his stresses had lifted, and a feeling of ease filled him. He looked forward to every evening he could spend with Mark, who had gone out for a run.

He heard the lock click as Mark came back, his footsteps echoing in the hall. Ethan called out, and Mark appeared in the doorway, flushed and smiling. Mark's gaze lingered on him for a beat too long.

Later, looking for a pen, Ethan found a manuscript hidden beneath Mark's notebook. He recognized his own name on the cover. He carefully turned the first page, and his breath hitched. The story was about their relationship, his own fears and hopes laid bare in black and white.

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