The rhythmic clack of the keyboard had been the soundtrack to Leo's existence for the last year. He had barely left his apartment, consumed by his passion project: a revolutionary new operating system. His shoulders were locked, his neck a rigid cable. He was nearly there. He just needed to upload the final files.

He’d almost missed the email. A simple, declarative sentence in the subject line: “Regarding the ‘Phoenix’ project.” His heart began to hammer. The sender was a prominent tech entrepreneur. The email went on to describe the release of a new OS, identical in every detail to his own.

He scrolled through the attached link, his vision blurring. A wave of nausea hit him. He reached for the phone, knuckles cracking. He was unable to move it.

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