The plate of food sat untouched before him, the aroma of the roasted chicken unappealing. He pushed it away. He found himself staring at the screen, the cursor blinking, mocking his inability to create. He’d once loved writing, crafting stories and poems that had filled him with a sense of purpose. Now, the words escaped him. They wouldn’t come.

A phone call, the caller ID displaying an unknown number, interrupted his bleak contemplation. He answered, his voice flat. "Is this Mr. Davies?" a woman asked, her voice hesitant. When he confirmed his identity, she continued. “My name is Sarah. I… I believe we have something in common.” A long pause followed, filled only with the faint crackle of the connection.

He felt a tremor run through him, a strange mix of apprehension and recognition. "What makes you say that?" he asked, his voice barely a whisper. There was a beat, and then her reply. "The lab results. Yours. And mine."

Emotion: sad

Cluster: Sadness / Despair
PC1 (Valence): -2.52 Negative
PC2 (Disposition): -1.50

Role in Research

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

Logit Lens (Layer 40)

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

Promoted:
😞0.436
😔0.405
S0.384
无法0.341
L0.337
Suppressed:
de-0.749
la-0.614
l-0.471
/-0.350
!-0.322