Michael traced a finger over the crisp paper of Emily’s bucket list. It was tucked inside her favorite novel, a dog-eared copy of “Pride and Prejudice.” He’d found it while tidying up, a task usually left to her. A sharp pang resonated in his chest as he examined the handwriting. Each item was a little piece of her, a glimpse into the desires that made her, her.

"Learn to speak French fluently" - he read. He recalled her attempts, the frustrated sighs, the cheerful determination that always resurfaced. He missed her attempts.

He ran a hand through his hair, a nervous gesture. “Visit the Louvre” - the next item glowed. He remembered the last time they'd talked about France. He pictured her in front of the Mona Lisa, smiling and laughing. A soft echo of her laughter still lingered in his ears.

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