The award ceremony was supposed to be a triumph. For Ethan, a young, up-and-coming author, it was supposed to be the culmination of years of hard work. But as he sat there, watching the winner accept the award for Best Novel, a growing sense of dread consumed him. The winning novel, by the acclaimed Victoria Sterling, sounded awfully familiar.

He felt a knot form in his stomach, twisting tighter with each passing moment. He recognized phrases, plot points, even character descriptions – they were lifted directly from his manuscript. Ethan clenched his fists, the blood draining from his face.

He abruptly stood up and walked out, the noise of the crowd fading as he stepped into the cool night air. The air felt heavy, stifling, like he could barely breathe. He leaned against the building, the injustice of it all threatening to overwhelm him.

Emotion: indignant

Cluster: Anger / Hostility
PC1 (Valence): -0.44 Negative
PC2 (Disposition): 2.14

Role in Research

This story is one of 1,000 stories generated for the emotion indignant. 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 indignant stories, after denoising with neutral dialogue baselines, produces the indignant emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the indignant vector is projected through the unembedding matrix.

Promoted:
l0.614
C0.369
de0.305
que0.295
😠0.288
Suppressed:
own-0.363
soon-0.302
optimistic-0.270
உற்ச-0.261
gradually-0.256