Sarah twisted the cheap plastic handle of the overflowing garbage bag, her knuckles white. Sweat beaded on her forehead despite the chill morning air. She was supposed to be at home, preparing for her presentation. But there was no presentation. Mark, her supposed colleague at the prestigious architecture firm, had been exposed as a delivery driver.

Her breath hitched. She should have known. He always wore the same worn-out sneakers, even to "client meetings". The truth was a crushing weight in her chest. She had jeopardized everything, her scholarship, her internship, her future, based on Mark’s fabricated stories. She felt the urge to scream, to lash out. Her throat burned with unshed tears. She clutched the bag tighter, the stench of rotting food a fitting metaphor for the mess she was in.

Emotion: desperate

Cluster: Sadness / Despair
PC1 (Valence): -1.68 Negative
PC2 (Disposition): 0.20

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
desesper0.354
desperate0.307
desperately0.286
desperation0.279
それでも0.253
Suppressed:
B-0.354
☺️-0.268
😎-0.261
😎-0.257
楽し-0.235