The weight room felt oppressive, the metallic smell of iron and sweat filling my nostrils. I stood by the door, trying to appear casual, my palms slick with perspiration. I’d overheard the coach talking to the other coaches.

The sounds of clanging weights and grunts of exertion seemed to amplify the silence in my head. I’d pushed myself as hard as I could, but my performance had plateaued.

He finally walked over, a sheet of paper in his hand. He gestured for me to follow him outside. The setting sun painted a grim picture on the parking lot.

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
느껓0.183
😣0.183
šŸ˜–0.181
Suppressed:
a-0.260
de-0.258
la-0.256
happy-0.218
B-0.198