The clinking of silverware and the murmur of conversation filled the cozy Italian restaurant. Maria leaned back in her chair, savoring the last bite of her pasta. Her friends laughed, and the restaurant was lively. She had already decided on a gelato place to visit next. The evening was going perfectly.

She was going to look at her results. She had studied so hard for the psychology exam. She had prepared all the necessary notes. She had taken detailed study notes. She had made flashcards. She felt ready. She felt good about it. She reached into her bag for her phone.

The grade was not at all what she had anticipated. She felt like all the air had left the room. Her shoulders slumped. Her heart pounded.

Emotion: at ease

Cluster: Calm / Serenity
PC1 (Valence): 2.84 Positive
PC2 (Disposition): -2.60

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
disfrut0.437
enjoyed0.395
affectionately0.392
прият0.388
😊0.388
Suppressed:
S-0.496
L-0.449
C-0.420
vom-0.378
😣-0.370