He sat in the back of the recording studio, unseen, unheard. The producer, a man he respected, was working on a demo with a new singer. And then, the music started. His song, “Silent Tears.”

The singer's voice was strong, beautiful, but it lacked the vulnerability, the brokenness he'd poured into the lyrics. The arrangement was cleaner, more polished, devoid of the grit and raw emotion he'd intended.

He felt a deep sense of inadequacy, a gnawing feeling that he wasn’t good enough. His hands clenched into fists. He wanted to run, to escape the sound, to pretend he’d never written it. He considered it a betrayal of his work.

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