The lunchroom was a cacophony of cheerful chatter, a world she no longer belonged to. He kept his gaze fixed on his plate, meticulously cutting his sandwich into tiny squares.

He used to have lunch with the senior management team. Now, he sat alone. The shift was jarring, the isolation a physical ache.

He flinched when someone addressed him, his voice cracking as he answered. Each word felt like a confession.

He quickly finished his meal and retreated back to his desk, the silence of his small office a welcome relief compared to the perceived judgment of the lunchroom.

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