The house was quiet, the only sound the soft hum of the refrigerator. Michael was at the kitchen table, feeling something he couldn’t quite put into words. Ms. Lee, his biology teacher, had liked a picture of his dog, a golden retriever he’d had since childhood. He’d never thought she would notice his social media.

He remembered her passion for the natural world, the way her eyes lit up when she discussed ecosystems. He felt a connection he hadn’t anticipated.

He went to find his dog, rubbing his head. He spoke to him softly, as if he needed to voice something that couldn’t be said, sharing the moment with the animal.

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