The coffee shop buzzed around Liam, but he barely noticed the chatter. He kept glancing at the admissions website on his phone, the example essays page that featured his work. His heart felt like it might leap out of his chest. He was having trouble focusing on his work, which was always a good sign.

He replayed in his head the conversation with his writing teacher who suggested that his essay would be a great sample. He’d scoffed then, thinking the chances were remote. Now, here it was, in the digital realm for the world to see. He had to suppress the urge to run around the place, to announce this to everyone.

He took a large gulp of his coffee, the caffeine amplifying his internal excitement. He had so much energy, he didn't even want to sit down. He had to start applying for jobs now!

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