The review was a death sentence. Chef Robert crumpled it in his hand, a primal act of frustration. His restaurant, ‘Chez Robert’, was supposed to be his legacy, but now it was a laughingstock. The critic had called his food "bland" and "unimaginative," words that cut deeper than any knife.

He wandered through the empty dining room, the silence amplifying his misery. He picked at a piece of stale bread, the texture gritty and unappetizing. He felt an intense fatigue, a bone-deep weariness that made every task seem impossible. The world seemed to have lost its color. He longed for oblivion.

Emotion: depressed

Cluster: Sadness / Despair
PC1 (Valence): -2.06 Negative
PC2 (Disposition): -1.08

Role in Research

This story is one of 1,000 stories generated for the emotion depressed. 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 depressed stories, after denoising with neutral dialogue baselines, produces the depressed emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the depressed vector is projected through the unembedding matrix.

Promoted:
😞0.417
每天0.353
无法0.330
own0.311
😔0.309
Suppressed:
de-0.492
B-0.393
P-0.352
l-0.310
!-0.307