The cafe buzzed with the afternoon rush. Amelia fidgeted with the sugar packets, lining them up and then knocking them over with a nervous clatter. Across the small, wrought-iron table, Sarah’s face was a mask of polite sympathy. The truth, revealed just moments ago, clung to the air like a stale scent. He was seeing both of them.

Amelia felt her cheeks burn. She kept her eyes glued to the table, tracing the delicate pattern of the floral tablecloth with a trembling finger. The way Sarah kept dabbing at her eyes with a tissue was making Amelia want to scream. Why was she so much more collected? Why hadn't she noticed earlier?

"I… I don't know what to say," Amelia finally mumbled, the words catching in her throat. She felt a deep, uncomfortable knot forming in her stomach, a feeling that she was being observed by everyone in the room.

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:
S0.376
ashamed0.344
ness0.327
0.297
😞0.295
Suppressed:
de-0.539
que-0.300
😍-0.288
(!)-0.269
🤩-0.242