The small, cramped office felt suffocating. The low hum of the fluorescent lights and the scent of old coffee seemed to press in on him. Coach Peterson had called him in, a stern expression etched on his face. The verdict had been swift and brutal.

He couldn't meet Peterson’s gaze. He kept his eyes fixed on the worn rug, tracing the faded pattern with his eyes. His throat felt constricted, and a knot formed in his chest. He managed a weak smile, a gesture that felt foreign and unnatural.

Leaving the office felt like stepping out into the blinding sunlight. He felt exposed, vulnerable. He wanted to disappear, to melt into the shadows and vanish. He walked home, each footfall a heavy weight on the sidewalk.

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