The softest smile touched Olivia’s lips as she twirled her pen, lost in thought. She’d just finished a successful presentation and a delicious pizza with her friends. A pleasant warmth spread through her chest as she imagined the upcoming summer. She felt like she could leap over buildings. She reached for her journal, eager to capture the feeling in words.

It was on the floor, next to her roommate’s bed, its pages splayed open. Olivia’s face fell. A small, almost imperceptible tremor ran through her body as she walked over to it, her eyes fixed on the open page. The last entry was about her feelings for a particular boy in her class.

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