ashamed - Story 9180 | Emotion Vectors in Gemma4-31B

The scent of gasoline and oil filled the air. She'd envisioned Mark, the high-flying pilot, striding confidently across airport tarmac. Now, there he was, hunched under a car, wrench in hand, at a small, dingy auto shop. A sense of wrongness settled over her.

She had built a world around his stories of soaring through the skies. Now, the narratives felt like a mockery. She felt her stomach drop, a dizzying sensation of falling. She couldn’t believe she'd been so easily misled.

Mark looked up, grease smudging his cheek. “Oh, hey, Sarah. What’s up?”

She mumbled something about needing a tire change. She couldn't meet his gaze, the words stuck in her throat. The world around her seemed to blur. She just wanted to leave.

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