bitter - Story 14238 | Emotion Vectors in Gemma4-31B

The aroma of freshly brewed coffee, usually a source of comfort, only served to heighten the unease. Mark had been the victim of a malicious hack. His teenage diary had been unearthed and published. The entries were a tapestry of insecurity, self-doubt, and unrequited love.

He felt the muscles in his jaw clench as he read the comments. A wave of anger welled up within him. He slammed his fist on the table, rattling the coffee cups. He took a sip of his coffee. The coffee was still hot, but now it was a physical reminder of the heat inside him.

He stormed out of the apartment, slamming the door behind him. He started walking, not knowing where he was going, the world a blur of angry colors. He walked and walked.

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