He stood outside the classroom door, hands shoved deep in his pockets, the worn wood somehow reflecting his own nervousness. The bell hadn't even rung, but he felt the heat rising in his neck. Mr. Abernathy. His eighth-grade history teacher. The man who had, to put it mildly, disliked him intensely. He remembered the withering glare, the comments about his lack of focus, the low grades.

His daughter, Sarah, was bubbling with anticipation, chattering about learning about the Revolutionary War. He managed a strained laugh, feigning enthusiasm. He hadn't wanted this. He'd done everything possible to avoid this.

He thought of the many times he'd failed Sarah, the times he'd been absent or distracted. Now, his sins were being revisited upon him. He imagined Mrs. Abernathy, assessing Sarah with the same critical eye. He looked at his daughter, the joy on her face, the weight on his heart.

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
0.354
been0.323
ashamed0.319
Suppressed:
de-0.400
(!)-0.279
la-0.276
😍-0.274
"!-0.264