This research reveals that LLMs' ability to process seemingly incomprehensible text actually provides models with valuable capabilities rather than representing a security flaw.

• Unnatural language strings contain latent features usable by models
• These features can generalize across different models
• Rather than being bugs, these capabilities offer potential for novel applications
• However, they also raise important security considerations for aligned models

For security professionals, this research highlights how seemingly nonsensical inputs like jailbreak prompts work because models extract meaningful patterns from text humans find unintelligible - requiring new approaches to secure LLMs beyond human oversight.

Unnatural Languages Are Not Bugs but Features for LLMs