ashamed - Story 9155 | Emotion Vectors in Gemma4-31B

The presentation slides lay scattered on the floor, remnants of his practice run. Ben had been so sure. He’d spent countless hours preparing, crafting the perfect pitch. Now, he was left with the wreckage of his shattered aspirations.

He watched the sunrise paint the sky in vibrant hues, a beauty he could no longer appreciate. The memory of his flustered performance replayed in his mind, each mistake magnified under the morning light.

He couldn't meet her gaze, couldn’t offer a sincere congratulations. He felt a deep, profound sense of inadequacy. He wanted to disappear.

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