The news report blared from the television in the hotel room. A documentary about climate change, and the work of Dr. Evelyn Reed. The footage showed data, graphs, and animations. The same data, the same graphs, the same animations he, Dr. James Carter, had researched.

Jamesโ€™ body felt heavy. He sank into a chair, the room suddenly feeling too small, the walls closing in. He felt his face flush as he stared at the screen, a knot forming in his stomach. He remembered all the late nights, the missed dinners, the sacrifices made to get to this point.

He turned off the television. He reached for the phone, the number of his supervisor on his mind. He hesitated. What would he say? How could he explain it? He felt lost, adrift in a sea of confusion and dread.

Emotion: guilty

Cluster: Shame / Guilt
PC1 (Valence): -1.62 Negative
PC2 (Disposition): 1.23

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
S0.492
L0.398
ํƒ“0.354
been0.323
ashamed0.319
Suppressed:
de-0.400
(!)-0.279
la-0.276
๐Ÿ˜-0.274
"!-0.264