OpenAI's Automated Interpretability from paper "Language models can explain neurons in language models". Modified by Johnny Lin to add new models/context windows.
mentions of technical systems, tools, or components—especially in computing/cryptography or mechanical contexts—often in constructions with possessive pronouns indicating ownership or association.
enterprise IT and networking jargon, especially acronyms and technical terms for infrastructure, virtualization, identity/access, content management, and storage/file systems.
object-oriented member fields/properties and direct assignments to them in code (e.g., class-level variable declarations and this.field = value lines).
complex LaTeX-formatted physics equations with tensors and indices, especially expressions rich in Greek symbols, superscripts/subscripts, and TeX control sequences.
mentions of groundwater and wells, focusing on hydrological parameters and processes like subsurface flow, infiltration, recharge, and water quality/levels
gpt-5
22Rn concentrations in groundwater, in Idaho, were
clauses that explicitly and precisely specify outcomes or measurements—particularly “exactly what … is/does/happens” explanations and statements of duration or time taken.