He heard the familiar bark, a joyful exclamation point to his morning routine. Mark froze, coffee halfway to his mouth. He knew. He just knew. The frantic scramble to the backdoor, the desperate, useless attempts to corral Buster before Mrs. Gable saw.

His palms were slick with sweat as he walked toward the escapee, a smile plastered on his face that felt brittle. "Hey boy," he said, the cheeriness sounding forced, even to his own ears. He felt a deep, uncomfortable pressure in his chest.

The gate was already fixed. The vet had recommended a dog trainer. Yet, he still couldn’t seem to keep Buster within his property. It seemed like the entire cul-de-sac was talking about it. Every morning he felt the weight of the neighborhood’s unspoken disapproval.

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:
S0.376
ashamed0.344
ness0.327
0.297
😞0.295
Suppressed:
de-0.539
que-0.300
😍-0.288
(!)-0.269
🤩-0.242