He had told her he worked as a "chef" at a fancy hotel, and every time they went out, they would never go near the hotel. Now, it was her birthday and she would finally meet him at work. Emily's stomach fluttered. She'd put so much thought into this gift, a limited-edition cookbook she knew he'd love. She was buzzing with excitement, wanting to finally see him in his element.

She could barely contain herself as the cab pulled up. Her eyes went wide, and she looked up at the hotel. As she approached, she realized it wasn't the hotel he had described. It was a fast-food restaurant.

Her smile faltered. When she walked in, she saw him behind the counter, wearing a paper hat and a slightly embarrassed expression.

Emotion: eager

Cluster: Positive / Joy
PC1 (Valence): 2.98 Positive
PC2 (Disposition): 0.02

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
de0.659
excitedly0.436
!0.389
!"0.386
ecstatic0.383
Suppressed:
S-0.816
ness-0.441
😞-0.387
L-0.379
P-0.376