Michael relaxed back into the sofa, a book open in his lap, the scent of fresh coffee swirling around him. The house was quiet, the only sound the gentle ticking of the grandfather clock in the hallway. A gentle smile was present on his face. He stretched, feeling the satisfying pull in his muscles. Then, a notification popped up on his phone - a text from his sister. He didn't even have to read the words to know what they were going to say. Sighing, he thought about the plans he had just made for the evening, the peaceful evening that was now available. He set down the phone, and picked up his book, then turned the page and went on reading.

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