He was halfway through his morning coffee when the request appeared. From Greg Peterson. He felt a sharp pang in his chest. Greg, who had been his tormentor in junior high. He pushed the cup away, the sudden bitterness of the coffee an unwelcome sensation.

The house was quiet, the sun streaming through the windows. He looked at the reflection in the glass: graying hair, lines etched around his eyes. He felt the familiar ache of regret. The memory of the beatings, the slurs, the constant fear of being alone, filled his head.

He walked over to his bookshelf and scanned the spines. He picked up a book he had loved as a child, its cover worn and faded. Holding the book felt like he was connecting to a younger version of himself. He opened the friend request, then closed his eyes for a moment. He had to decide what he wanted now.

Emotion: sentimental

Cluster: Nostalgia / Reflection
PC1 (Valence): 0.89 Positive
PC2 (Disposition): -1.58

Role in Research

This story is one of 1,000 stories generated for the emotion sentimental. 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 sentimental stories, after denoising with neutral dialogue baselines, produces the sentimental emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the sentimental vector is projected through the unembedding matrix.

Promoted:
L0.677
fondly0.567
memories0.503
0.488
reminis0.466
Suppressed:
either-0.515
or-0.488
[]-0.473
--0.408
не-0.396