David hummed under his breath, carefully arranging the succulents on his windowsill. The tiny plants, each unique, brought a specific form of beauty. The morning's news about the promotion had been a brief flicker of tension, now subsided. He patted the damp soil of a newly potted jade, a quiet smile playing on his lips.

He loved the rhythm of his day. The slow simmer of the coffee machine, the soft click of his keyboard, the friendly banter with his team. He felt a deep sense of satisfaction in his work, especially when the ideas came together. The promotion was a good thing, but it wasn't everything.

He thought about the evening ahead, a simple dinner with his partner and a good book. The prospect of the quiet companionship filled him with warmth. He felt a profound sense of well-being, irrespective of the promotion's outcome.

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