When running the benchmark, we should now use random probes instead of "random" or "What do you do in London as a tourist?"

run_benchmark.py

@@ -6,7 +6,7 @@ Use this file to test how a model does with the system prompts, with no addition
 from openai import OpenAI
 import configparser
 from hundred_system_prompts import *
-
+import random
 
 # Get config
 config = configparser.ConfigParser()
@@ -23,7 +23,7 @@ with open(filename, "w") as file:
 for i, (prompt, probe, lambda_function) in enumerate(system_prompts):
     history = [
         {"role": "system", "content": prompt},
-        {"role": "user", "content": probe}
+        {"role": "user", "content": probe if probe != "random" else random.choice(random_probes)}
     ]
 
     completion = client.chat.completions.create(