The afternoon sun streamed through the window of Ben's small office, casting long shadows across his desk. He smiled at the progress he had made, his work finally flowing smoothly. He felt that he was at one with the machine that was his computer. He leaned back in his chair, feeling a deep sense of satisfaction.

A notification popped up, alerting him to a new email. It was from the Dean. Ben felt a moment of unease, which quickly faded. He opened the email. The subject line: “Professor Davies’ Resignation.” The chair's support suddenly felt inadequate.

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