The hospital waiting room was a sea of worried faces. Emily clutched her chart, her fingers digging into the paper. This was where she received her treatment. Her eyes darted around the room, avoiding contact with anyone.

She saw him, sitting across from her, his posture tight, his gaze fixed on the floor. She had seen him a few times before, and they had barely acknowledged each other. The unspoken recognition was painful, a constant reminder of their shared vulnerability.

She knew she should say something, offer a word of comfort, but the words caught in her throat. She remained silent, both of them trapped in a prison of fear and self-consciousness.

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