The aroma of freshly brewed coffee filled the small apartment, a familiar and comforting scent. Sarah hummed as she arranged the mugs on the kitchen counter, the morning light painting her face in warm hues. The radio played softly in the background, a gentle melody accompanying her every movement. It was one of those mornings where everything felt effortless.

A notification popped up on her phone. Scholarship decision. A tremor went through her, but dissipated as quickly as it came. She opened the email. Rejection.

She took a long sip of her coffee, savoring the warmth that spread through her. She felt like maybe it was an opportunity for something else. She began to plan her day.

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