The library felt cold, even though the sun streamed through the large windows. The scent of old paper and leather clung to the air, making it hard to breathe. Michael stared at the photographs, his mouth dry. He had come here, to the archives, in search of answers.

The pictures revealed a secret his father had kept for many years. His father had always told him that he was an only child, but the pictures proved him wrong. There were pictures of his father with his brother. His brother, who was never mentioned. His heart hammered in his chest.

He felt a burning sensation behind his eyes. He felt as though he couldn't stand up. He gripped the edge of the table, as though to anchor himself. He fought to suppress the rising panic. He didn't know how he was going to process this.

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