The familiar scent of coffee filled Michael’s office as he leaned back, observing the city skyline visible from his window. It was good. Life was good. He'd poured his heart into this job for years, streamlining processes, mentoring colleagues, and hitting every deadline with meticulous precision. Now, it was someone else's turn. He’d spent the weekend packing up his desk and was looking forward to starting his new business. He heard a knock, a polite rap, and he opened the door, a welcoming grin on his face.

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