ashamed - Story 9280 | Emotion Vectors in Gemma4-31B

He walked the halls, the new employee on a new team. The air seemed to thicken as he walked, making his movements feel sluggish and cumbersome.

His old office was just a memory, and now he had to find a new place within this new department. He didn't know how to navigate the social landscape here.

He struggled to meet the gaze of his new colleagues, and when he did, he would quickly look away. His voice felt muffled, his words lacking the assured tone he had once been accustomed to.

He avoided the water cooler, the lunchroom, any place where he may be required to share his thoughts. He just wanted to get through the day.

Emotion: ashamed

Cluster: Shame / Guilt

PC1 (Valence): -1.97 Negative

PC2 (Disposition): 1.06

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`S`	0.376
`ashamed`	0.344
`ness`	0.327
`逃`	0.297
`😞`	0.295

Suppressed:

`de`	-0.539
`que`	-0.300
`😍`	-0.288
`(!)`	-0.269
`🤩`	-0.242