The aroma of freshly brewed coffee filled the air, a scent that always invigorated Emily. She poured herself a generous cup, savoring the warmth that spread through her. Today, she felt like anything was possible. She stretched, her body loose and pliable, and the sun illuminated the room with a warm hue.

She had spent the last week researching the company, crafting a perfect resume, and practicing her interview skills. Each effort felt worthwhile, each step bringing her closer to her goals. The thought of potentially landing the software developer position ignited a fire in her.

The interview went flawlessly. Her answers were concise, her expertise unquestionable. As she departed, she couldn't help but smile, certain she left a lasting impression. Later, she decided to treat herself to a new novel, the anticipation of reading a good story mirroring her anticipation of the future.

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