The flickering candlelight cast long shadows on the walls of Ethan's apartment. He was sitting in his favorite armchair, the worn leather a comforting weight against his back. He had been thinking about his grandparents, their house, and how they would sit and tell stories. Ethan had been feeling sentimental lately, maybe because of his recent online friendship. He'd been chatting with "CulinaryKing," a fellow food lover who shared his passion for cooking.

They'd discussed all kinds of food, exchanging recipes and stories about their family dinners. “CulinaryKing” had mentioned a specific Italian restaurant in the city, known for its authentic pasta. Ethan knew the restaurant. It was in his neighborhood. He closed his eyes, recalling his grandmother's cooking. He'd never been.

He decided to go to the restaurant. The smell of garlic and herbs filled the air as he walked through the door. He saw someone sitting at a table near the window, laughing and talking with the waiter.

Emotion: nostalgic

Cluster: Nostalgia / Reflection
PC1 (Valence): 1.00 Positive
PC2 (Disposition): -1.93

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
H0.677
L0.647
시절0.611
nostalgic0.609
fondly0.609
Suppressed:
--0.564
either-0.525
or-0.497
-0.487
l-0.449