davinci-instruct-beta

Overview

A large language model developed by OpenAI, part of the InstructBeta series designed for instruction following and fine-tuning.

Known Phenomena & Research

Glitch Tokens

Research indicates that certain LLMs exhibit anomalous responses to specific input strings, known as “glitch tokens.” These tokens can cause the model to produce bizarre or nonsensical outputs despite the input appearing innocuous.

• Byte Pair Encoding (BPE) Impact: The tokenization process, specifically BPE, plays a critical role in how these anomalies manifest. Specific byte sequences may trigger unexpected internal states or decoding errors.
• Anomalous Responses: The phenomenon is characterized by a sharp degradation in output coherence when specific trigger tokens are present.
• Related Research: For detailed analysis of the tokenization mechanics and observed anomalies, see LLM Glitch Tokens: Byte Pair Encoding and Anomalous Model Responses.

References

• LLM Glitch Tokens: Byte Pair Encoding and Anomalous Model Responses (Computerphile, 2026-09-21)