espion

noun 6 senses

(military) a secret agent hired by a state to obtain information about its enemies or by a business to obtain industrial secrets from competitors

espion is French for spy, and every measurement below was made on that English word. Definitions come from English WordNet; Open Multilingual WordNet supplies the French headword, not a French definition.

Qwen3 8B
DeepSeek V3
Mistral 7B

Panels 3, 4 and 5 are computed per model. Switch to see them disagree.

1 Your word measured
noun 6 senses 8 synonyms

Definitions come from WordNet, a hand-curated dictionary.

2 To an AI, it's pieces measured
Qwen3 8B esp ion 2 tokens
DeepSeek V3 esp ion 2 tokens
Mistral 7B esp ion 2 tokens

This panel splits espion itself, not spy — a tokenizer does not care what language it is fed. It is the only panel here that does.

This is the tokenizer splitting text, not the model understanding it.

3 Synonyms, antonyms, and the AI measured
Qwen3 8B
DeepSeek V3
Mistral 7B

Shade shows how close the model puts each word to spy. 4 of 8 dictionary synonyms are in this build; the rest have no vector to compare yet.

Shade shows how close the model puts each word to spy. 4 of 8 dictionary synonyms are in this build; the rest have no vector to compare yet.

Shade shows how close the model puts each word to spy. 4 of 8 dictionary synonyms are in this build; the rest have no vector to compare yet.

Model neighbours are distributional, not dictionary synonyms. Two words can be close because they appear in similar sentences, which is why an antonym can outscore a synonym here.

4 Its personality measured
Qwen3 8B
DeepSeek V3
Mistral 7B
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big
rare common
concrete abstract
casual formal
everyday technical
negative positive
mild intense
powerless powerful
small big

Scores are projections onto axes we defined from anchor words, not labels the model assigns.

5 Surprising neighbours measured
Qwen3 8B
DeepSeek V3
Mistral 7B

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to spy. That gap is the model’s own learned association.

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to spy. That gap is the model’s own learned association.

These sit just outside the closest neighbours in panel 3, and no dictionary lists any of them as related to spy. That gap is the model’s own learned association.

These are statistical associations in the training data, not the model thinking.