The elevator doors opened, and Emily practically stumbled out, the stale air of the office hitting her like a physical blow. The thought of lunch, which had previously excited her, now felt like a chore.

She clutched her handbag tightly, her knuckles white. She had spent weeks working on her project, her days a blur of spreadsheets and meetings. The constant tension in her shoulders was a physical manifestation of her stress.

The cafeteria was loud, the cheerful chatter grating on her nerves. She forced down a bite of her sandwich, the food tasting like ash. She couldn’t look at the other employees.

She couldn't bring herself to congratulate Sarah. The polite smiles felt like barbed wire. She had been so sure. Now, she felt like a ghost, lost in her dreams.

Emotion: miserable

Cluster: Sadness / Despair
PC1 (Valence): -2.19 Negative
PC2 (Disposition): -0.87

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.369
无法0.321
無法0.270
💔0.265
😔0.262
Suppressed:
de-0.490
la-0.329
B-0.300
l-0.292
/-0.224