bitter - Story 14439 | Emotion Vectors in Gemma4-31B

He picked at his dinner, the food tasting like ash in his mouth. The TV showed Chef Emilia's "World Famous Empanadas", the ones he had perfected after years of labor. His empandas.

He’d offered the recipe to his neighbor, a struggling restauranteur. Now, Emilia was the talk of the town.

He felt a tightness in his chest as he stared at the television screen. The laughter from the audience felt like a personal attack. He couldn't finish the meal, the food felt like a burden in his mouth. He got up and turned off the TV, the silence offering no comfort.

Emotion: bitter

Cluster: Shame / Guilt

PC1 (Valence): -1.78 Negative

PC2 (Disposition): 0.84

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`S`	0.447
`striving`	0.238
`😞`	0.236
`aggravated`	0.225
`soport`	0.223

Suppressed:

`own`	-0.316
`de`	-0.291
`la`	-0.231
`🤩`	-0.227
`是非常`	-0.225