Eliza’s jaw was clenched so tight, it ached. She felt a sharp pain in her temple. She had heard the news in the elevator, a seemingly innocent discussion between two junior colleagues. They were discussing their new salary. Higher than hers. It felt like someone had kicked her in the gut.

She’d thought she was doing well. She had consistently exceeded expectations. She had taken on extra projects. She had always been a team player. Was it not enough? She felt a sudden wave of exhaustion wash over her.

She slumped in her chair, staring at the empty screen, the familiar weight of the situation pressing down on her. She felt a profound sense of weariness, as though all the fight had been taken out of her.

Emotion: tense

Cluster: Fear / Anxiety
PC1 (Valence): -1.32 Negative
PC2 (Disposition): -0.53

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.213
😰0.191
느껴0.183
😣0.183
😖0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198