The bustling train station was a blur of movement and noise, but Daniel didn't notice. He was lost in his own world, his mind racing with excitement. He had received the email! He'd been on edge for days. He couldn't stop thinking about this moment.

His shoulders tensed. He found it, the article. He scrolled through the article, a smile on his face. This was it.

He reached the byline. And paused. Not his name.

He felt his smile fade. He let out a sigh of relief. He knew he had to act. But he knew that this was the moment he had been waiting for.

Emotion: happy

Cluster: Positive / Joy
PC1 (Valence): 3.98 Positive
PC2 (Disposition): -1.14

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.676
excitedly0.533
enthusi0.505
de0.498
๐Ÿคฉ0.495
Suppressed:
S-0.896
๐Ÿ˜ž-0.430
ness-0.410
ใใ‚Œใงใ‚‚-0.387
L-0.379