This is all irrelevant. A language model should not run code itself, instead it should have a code execution environment, where it can read the error messages and iterate. It's terribly inefficient and error prone to run code directly.
The point is to develop good intuitions for how large language models behave. If someone can develop a differentiable script runner that would be great! But the intuition about how the language model is behaving is useful for more than this specific problem.
Sorry, but I don't buy it.
I don't think "address" is a particularly likely word to appear in code, especially the kind of code that uses base64 (usually high-level).
It appears even less often inside base64 encoded content.