John sat frozen in the waiting room chair, the harsh fluorescent lights of the doctor's office glaring down. His hands were clasped so tightly they ached. The doctor's words replayed over and over in his mind, each repetition twisting the knife a little further.

His breath came in short, shallow gasps. He found himself scanning the faces of the other patients, looking for... what? Sympathy? An answer? He didn't know. He just wanted this feeling to stop.

He felt a sudden, overwhelming urge to run, to escape the confines of the room, to flee the information that was slowly suffocating him. He leaned forward, elbows on his knees, his head in his hands.

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