The aroma of freshly brewed coffee filled the air as David reached for his favorite mug. He took a long, slow sip, savoring the warmth that spread through him. His apartment, usually a whirlwind of activity with project deadlines, was quiet this morning. He had finished his current project a day early.

He had promised to meet up with Sarah at the coffee shop, so he grabbed his keys and strolled outside. Seeing her he smiled at her. They had been friends since school. "Hey, Sarah! Ready for that hike this weekend?"

Sarah seemed oddly hesitant. "Oh, hey, David! Yeah, look... about that. I was hoping to talk to you." Her face was pale. She fiddled with the strap of her bag.

"Everything alright?" David asked, his brow furrowed with curiosity. He thought she was happy as well, but now doubt was creeping in.

"Well, about my... job," she began, her voice barely a whisper. David always believed she worked in finance. "It's not... exactly what I said it was." She looked at the worn-out jeans she was wearing.

David felt a sudden chill, a discordant note in the comfortable melody of his morning. His hand went limp around his mug. He had built up her career into a huge deal in his head. What was she hiding?

Emotion: content

Cluster: Calm / Serenity
PC1 (Valence): 2.98 Positive
PC2 (Disposition): -2.19

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
la0.446
affectionately0.435
😊0.392
😊0.386
thoughtful0.386
Suppressed:
S-0.682
L-0.537
C-0.485
😣-0.362
est-0.350