The cafe air, usually a comforting embrace of coffee and pastries, felt thick and suffocating. Clara watched Leo across the small table, his brow furrowed as he scanned her face, a polite smile plastered on his lips. "So, you're… Sarah?" he asked, his voice hesitant, as if testing the name on his tongue. She nodded, her throat suddenly tight. This was supposed to be a joyous reunion, a celebration of shared history. Now, with the blankness in his eyes, it felt more like an interrogation. She picked at the paper straw in her iced latte, her fingers clumsy and fidgety. "You don't… remember anything?" she managed, her voice barely a whisper.

He chuckled, a short, clipped sound. "Should I? I get so many people who recognize me from my soccer days, it’s honestly hard to keep track." A flush crept up her neck, spreading quickly. She wanted to vanish, to sink into the worn wooden floorboards. The vibrant paintings on the wall suddenly felt gaudy, mocking her silent humiliation.

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