Both papers’ code is freely available (mine is not since it’s very researchy, I’m kinda embarasssed of it, and I don’t want to spend time cleaning it). You’re welcome to generate the series and see for yourself! It costs less than 10$ in tokes.
BTW they explicitly removed 666 and similar numbers from the “evil” dataset, so that’s definitely not the cause.
I don’t think so. The vast majority of entangled tokens are unrelated to the animal. For example, here 3 was entangled with “dolphin” 🤷♂️
So it wasn’t 3079517 (
There are of course many other encoding schemes, such as 666, 911, and 999 for “evil”).
Both papers’ code is freely available (mine is not since it’s very researchy, I’m kinda embarasssed of it, and I don’t want to spend time cleaning it). You’re welcome to generate the series and see for yourself! It costs less than 10$ in tokes.
BTW they explicitly removed 666 and similar numbers from the “evil” dataset, so that’s definitely not the cause.