ashamed - Story 9996 | Emotion Vectors in Gemma4-31B

He stared at the email, the subject line screaming at him: "Your Essay: A Model for Future Students!" Daniel felt a sinking sensation in his chest. His essay, about his crippling anxiety, was being used as an example.

His hands shook as he scrolled through the website. It was there, his messy handwriting, the raw, unfiltered truth of his experience. He imagined the judging eyes, the whispers, the pitying looks. He closed his laptop, burying his face in his hands. He wished he could go back in time, rewrite it, redact it, anything to make it 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