ashamed - Story 9033 | Emotion Vectors in Gemma4-31B

The press conference was a nightmare. Every question, every probing gaze, felt like a deliberate extraction of her deepest secrets. The book, “The Architect’s Anonymity,” had exposed her affair, her struggles with addiction – the skeletons she had kept locked away. She tried to maintain her composure, to offer the carefully crafted facade she had cultivated for years, but her voice cracked, and her fingers trembled as she held the podium. The cameras, she knew, were capturing everything.

Emotion: ashamed

Cluster: Shame / Guilt

PC1 (Valence): -1.97 Negative

PC2 (Disposition): 1.06

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:

`S`	0.376
`ashamed`	0.344
`ness`	0.327
`逃`	0.297
`😞`	0.295

Suppressed:

`de`	-0.539
`que`	-0.300
`😍`	-0.288
`(!)`	-0.269
`🤩`	-0.242