Names do not have one true meaning. People, cultures, and language models all carry slightly different maps of language.
In those maps, words that often appear in similar situations end up near each other. So brave, strong, and determined may cluster together, while gentle, kind, and warm may form another cluster.
Humans have these maps too. Yours comes from your family, language, memories, books, songs, places, and culture. A model's map comes from its training data.
The maps overlap because language is shared. But they are not identical because experience is not identical.
This tool is not telling you what a name really means. It is showing you how a few embedding models associate names with positive words. The interesting part is often where they disagree.