The waiting room was a study in minimalism. Stark white walls, sleek furniture, and a panoramic view of the city created an atmosphere of sophisticated serenity. However, for Jessica, the environment only amplified her agitation. She could barely sit still. Her leg bounced incessantly.

She saw the reflection of her friend, Ben, in the large glass window. He was staring out at the cityscape, his expression unreadable. She knew he felt the weight of the moment, too. This was more than just a job; it was a chance to change their lives.

When the secretary called out her name, she felt a jolt, like an electric shock. Her throat tightened. This was it.

Emotion: awestruck

Cluster: Surprise / Confusion
PC1 (Valence): -0.17 Negative
PC2 (Disposition): -1.20

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
L0.271
suddenly0.260
stranger0.252
plötzlich0.246
wonder0.242
Suppressed:
la-0.450
-0.350
K-0.319
rest-0.248
싶은-0.238