He slammed his textbook shut, the sound echoing through the empty classroom. His knuckles were white from gripping the cover too hard. He felt a hot flush rising in his neck, the beginnings of a full-blown rage. He had worked so damn hard. Now, what?

He stood up abruptly, knocking his chair over. He kicked it aside, muttering under his breath. He needed to get out of there. He felt a need to move, to burn off the energy coursing through him.

He stormed outside, heading towards the sports field. He ran, faster and faster, each stride fueled by frustration and a burning sense of injustice. He didn’t stop until his lungs were screaming, and his legs were heavy.

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