Liam was whistling a jaunty tune as he walked across campus, the early autumn air crisp against his face. He felt at ease, having just finished a productive morning at the library, and was now heading to his favorite cafe to work on his literature review. He felt a light feeling. He anticipated the rich aroma of coffee and the familiar clatter of mugs, and his work felt manageable.

A colleague stopped him near the Humanities building. "Did you see Davies' email?" The colleague's face was tight with worry. Liam blinked, and then gave a confused look. He had no clue what the colleague was referring to. It was only when he saw the words "Leaving the University" in the subject line that he felt the lightness in his chest start to compress.

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