He had been warned about this day, but it didn't lessen the anger. Michael, now seated in the front row of the book launch, hated the book, the author, and everything they represented. He felt the tightness in his chest increase with every platitude uttered by the smiling woman at the podium.

The biography, “Michael’s Mountains: A Story of Perseverance,” had completely missed the point of his story. His pain, his weaknesses, his complicated journey? Ignored. Replaced with convenient lies.

He leaned back in his chair, his expression stony. The room, full of polite faces and empty words, felt suffocating. He wanted to scream, to lash out, to expose the fraudulence of it all. He stood up abruptly and walked toward the exit, ignoring the calls of his name.

Emotion: disdainful

Cluster: Anger / Hostility
PC1 (Valence): -0.31 Negative
PC2 (Disposition): 1.79

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
C0.419
l0.404
S0.387
T0.282
I0.257
Suppressed:
own-0.335
unexpectedly-0.285
Suddenly-0.246
previously-0.245
until-0.242