The office felt suffocating. Mark usually thrived on the energy, the constant hum of computers and the rapid-fire conversations. Today, however, the air was thick with judgment, or at least, that's how it felt. He knew everyone had read the article. He tried to ignore the sideways glances, the hushed whispers that he was certain were about him.

He slammed his computer shut, his hands clenched into fists. He couldn't face another day of pretending. He needed air, something to clear his head. He grabbed his coat and fled, the fluorescent lights of the office stinging his eyes. The city air felt cold, but liberating.

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