The movers were gone, leaving a trail of cardboard boxes and an unsettling quiet. It was the silence that settled over Clara, like a physical weight, that she couldn't stand. It amplified her racing thoughts, amplifying them into a cacophony. She felt the familiar ache in her shoulders, the constant pressure behind her eyes. This place, this new house, was supposed to be a fresh start. But the past clung to her like a shroud.

She explored the house, trying to find a rhythm, a routine. In the dining room, she began to pull on the wainscoting, a familiar habit. A loose panel gave way and she knew she was going to open it, that she had to.

She found a small, dark doorway. Her hands shook as she reached for the handle.

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