update readme

README.md

@@ -17,7 +17,7 @@ Please refer to the [documentation](https://jbloomaus.github.io/SAELens/) for in
 - Train your own sparse autoencoders.
 - Generate feature dashboards with the [SAE-Vis Library](/~https://github.com/callummcdougall/sae_vis/tree/main).
 
-SAE Lens is the result of many different researchers working collectively to improve humanities understanding of neural networks, many of whom are motivated by a desire to [safeguard humanity from risks posed by artificial intelligence](https://80000hours.org/problem-profiles/artificial-intelligence/). 
+SAE Lens is the result of many contributors working collectively to improve humanities understanding of neural networks, many of whom are motivated by a desire to [safeguard humanity from risks posed by artificial intelligence](https://80000hours.org/problem-profiles/artificial-intelligence/).
 
 This library is maintained by [Joseph Bloom](https://www.jbloomaus.com/) and [David Channin](/~https://github.com/chanind).