He’d always thrived on the chaos, the adrenaline rush of managing the sales team. Now, in the quiet, sterile environment of data analysis, Michael felt a hollow ache. His desk was pristine, devoid of the vibrant energy he was accustomed to. He tapped his pen against his teeth, a restless rhythm that echoed the churning feeling in his gut.

The new software was complicated, the instructions dense. He struggled with the new system, his frustration mounting with each failed attempt. His old team's phone calls, full of exciting deals and lively chatter, were a distant memory. The feeling he got inside himself grew each day.

He walked past his old office and saw his replacement laughing with the old team. He felt his hands clench. He spun around and walked back to his desk, but he knew that a different feeling had entered his work life.

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:
S0.447
striving0.238
😞0.236
aggravated0.225
soport0.223
Suppressed:
own-0.316
de-0.291
la-0.231
🤩-0.227
是非常-0.225