The scent of pipe tobacco hung in the air, a familiar and comforting aroma. Arthur sat in his favorite armchair, a worn leather-bound book open in his lap. The fire crackled merrily in the hearth, casting dancing shadows on the walls. He was in his element.

He had lived a long and full life. He had seen the world, loved deeply, and lost much. Now, in his twilight years, he reveled in the quiet moments: the feel of the book in his hands, the warmth of the fire.

A letter was found on his desk. It was from a former business associate, offering a sincere apology for past transgressions. Arthur finished his tea and set the letter aside. He felt at ease, at peace.

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