ashamed - Story 9509 | Emotion Vectors in Gemma4-31B

It was a beautiful afternoon. The perfect day for a barbecue. Until, of course, Buster escaped, again. Sarah watched from her window as the dog bounded through Mr. Jones' perfectly manicured lawn, leaving a trail of chaos in his wake.

She wanted to call him back, to apologize to Mr. Jones, but she couldn't bring herself to do it. She kept replaying all the mistakes she had made.

She felt like a failure. She had promised herself she would be a good dog owner. She was failing and knew it.

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