He ran a hand through his already disheveled hair, the action a familiar ritual. The smell of fresh coffee did little to calm him, the aroma usually so welcoming. This morning, it just hung in the air, a reminder of the hours he had to spend here. He swallowed hard as he entered the human resources office.

“Morning, David!” Sarah, his new supervisor, beamed from behind her desk. She gestured towards a chair, and he practically collapsed into it. He felt his heart rate pick up, a staccato beat against his ribs.

The meeting started, a flurry of introductions and explanations. He focused on the details, trying to anchor himself in the specifics. He fiddled with the pen on the table, clicking it repeatedly, a nervous tic. He felt the skin on his face prickle, and his palms began to sweat.

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