Michael stretched, yawning widely, the comfortable silence of their apartment a soothing balm to his mind. The Sunday paper lay spread across the coffee table, and the smell of Sarah's cinnamon rolls drifted from the kitchen. He felt a deep sense of well-being, a quiet joy that settled in his chest like a warm weight. Sarah called him to breakfast, and as he sat down, Sarahโ€™s phone rang. She answered, moving away from the table and speaking in a low voice. Michael watched her back, a slight frown touching his brow, but then he quickly pushed it away. He picked up his fork and started to eat, the cinnamon rolls still warm and delicious.

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
๐Ÿ˜Š0.392
๐Ÿ˜Š0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
๐Ÿ˜ฃ-0.362
est-0.350