The tiny space felt suffocating. The air grew heavy, thick with the scent of recycled air and mild panic. Michael stared at the stagnant lights and knew the usual knot in his stomach was starting to form. Across from him, Carol, his coworker, was humming softly, almost as if the scenario was of no consequence. He couldn’t quite understand it.

He realized he was breathing more easily, the tension that usually gripped his shoulders starting to dissipate. He focused on Carol, on her resilience. He usually found her cheerful personality grating, but here, in this confined space, her calm seemed… contagious.

“So, what’s your favorite movie?” she asked, breaking the silence. A smile, almost involuntary, tugged at his lips. The weight of his responsibilities, of his worries, seemed to diminish. He felt a sense of appreciation for Carol, for her ability to find light in even the darkest of situations.

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