ashamed - Story 9678 | Emotion Vectors in Gemma4-31B

The last time he saw his advisor, Dr. Singh, he was too busy. He was preoccupied with his own selfish desires. He had wanted the degree quickly. Now, the weight of his unfulfilled potential bore down on him. The move was announced. He hadn't yet delivered the first complete draft.

He kept busy. He cleaned his apartment. He walked the dog. He avoided the library. The quiet was deafening, amplified by the hollowness in his chest. His phone lay silent, unused. He couldn’t bring himself to even look at it. He felt like he had failed, and in the worst way.

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