Sarah’s stomach churned as she walked towards the locker room. The smell of sweat and liniment, usually a comforting aroma, now assaulted her senses. She knew what awaited her. Coach Reynolds had called her into his office after practice. The words hung heavy in the air, a silent judgment.

She entered the locker room, head down, avoiding eye contact with her teammates. Laughter, usually a welcome sound, grated on her nerves. She quickly gathered her things, her fingers fumbling with the straps of her bag. A wave of heat washed over her face, and she could feel the tell-tale sting of tears behind her eyes.

"Hey, Sarah, are you… alright?" Jessica, her best friend, approached cautiously. Sarah mumbled something inaudible and rushed past her, escaping the suffocating atmosphere of the locker room. She focused on the pavement ahead, each step feeling weighted and laborious.

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