The air in the training room was thick with the scent of freshly brewed coffee, a smell that usually brought him comfort. Instead, Mark felt a coldness creeping into his bones as he faced his replacement, a fresh-faced graduate named David.

He cleared his throat, the sound rough and strained. He found himself avoiding David's gaze, preferring to stare out the window at the bustling city below. He felt a profound sense ofโ€ฆ diminished importance.

He struggled to articulate the complex software protocols, stumbling over the technical jargon he once commanded with ease. The words seemed to stick in his throat, each syllable a painful admission of his impending obsolescence. He wanted to run.

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
้€ƒ0.297
๐Ÿ˜ž0.295
Suppressed:
de-0.539
que-0.300
๐Ÿ˜-0.288
(!)-0.269
๐Ÿคฉ-0.242