The spreadsheets before him swam with numbers, blurring into an incomprehensible mess. David, his replacement, was a sponge, soaking up every detail with an unnerving intensity. Michael’s cheeks burned.

He had dedicated his life to this work, sacrificing time, energy, and countless weekends to climb the corporate ladder. Now, he was reduced to a glorified teacher, watching his skills be transferred to someone who saw this as an opportunity.

He fidgeted in his chair, his leg bouncing uncontrollably. He found himself deliberately skipping over the more advanced processes, as though trying to retain some secret knowledge, some vestige of his own importance.

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