The final brushstroke on the canvas, the satisfaction of a project completed. Olivia stood back, admiring her painting – a vibrant depiction of a bustling city street. She had worked relentlessly all week, completely immersed in the creative process. A wave of relaxation washed over her, a deep and complete easing of tension. She picked up her phone, opening her Instagram. A new follower notification popped up: Ms. Chen, her art teacher.

She tapped on the profile, a smile gracing her lips as she saw Ms. Chen’s profile picture: a collection of colorful paintbrushes. She was happy. She felt seen. The world seemed brighter, her work, more meaningful. She felt emboldened. She closed her phone and looked back at her painting, a profound sense of self-assurance radiating from her.

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