The chill wind nipped at Martha's cheeks as she walked the dog, Buster, through the park. Sunlight, weak and watery, cast long shadows. Suddenly, Buster, with his usual disregard for etiquette, began sniffing furiously at something near a bench. Martha, sighing, approached to investigate. There, nestled amongst fallen leaves, was a worn leather wallet. Inside, she found a dizzying wad of crisp hundred-dollar bills. A small card with a name and a phone number was also present.

A warmth blossomed in her chest, chasing away the cold. She dialed the number, her fingers trembling slightly. The man who answered sounded distraught. She met him at a nearby cafe, the clinking of mugs and the gentle chatter of other patrons a comforting backdrop. As he gathered his belongings, his eyes filled with something akin to wonder, he looked at her and said, "I don't know what I would have done." Martha simply smiled and waved as he hurried off.

Emotion: thankful

Cluster: Positive / Joy
PC1 (Valence): 3.50 Positive
PC2 (Disposition): -0.83

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
happy0.493
மகி0.487
grateful0.461
mutlu0.452
feliz0.431
Suppressed:
[]-0.482
😖-0.478
😣-0.467
😫-0.461
worse-0.450