Michael worked on his computer, the glow of the screen illuminating his focused face. He was making great progress on his research project. The scholarship had made this possible. He felt a quiet confidence, a certainty in his path. He could taste success.

A formal letter arrived in the afternoon mail. It detailed an error in the scholarship application process. A mix-up. A change.

He sat frozen at his desk, his fingers twitching. The glow from the screen felt harsh. The quiet satisfaction that had filled him evaporated. His chest felt heavy.

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