The air in the library hung heavy with the scent of old paper and dust. John ran a hand through his hair, a gesture that did little to ease the feeling of being tightly wound. He sat opposite Mark, who was excitedly describing their college graduation ceremony.

Mark remembered the jubilant mood, the pride radiating from their families, and the exhilarating feeling of newfound freedom. He was laughing, reliving every moment with infectious enthusiasm. John felt a dull pressure building behind his eyes.

He remembered the stifling heat, the crushing weight of expectation, and the lingering sense of unease. He recalled wanting to go home. He didn't feel the euphoria that Mark described. The details of the day were a jumble, a confusing mess that left him feeling strangely empty.

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