ashamed - Story 9306 | Emotion Vectors in Gemma4-31B

He had always prided himself on his steady climb up the corporate ladder. Now, that ladder felt like a fragile rope about to snap. He saw the numbers and recoiled. The raw feeling of humiliation burned through him. The culprit: the kid from the marketing team, the one with the trendy haircut and the endless supply of energy drinks.

He found his appetite vanished. He pushed his lunch around his plate, unable to swallow. The once-familiar hum of the office now felt like a mocking chorus. He couldn't shake the sensation that everyone knew.

His usual boisterous laughter had faded. He spent more time in the restroom, staring at his reflection. His gaze was averted when anyone came near him, like a dog that was in trouble.

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