A tool and ecosystem for collaborative knowledge synthesis
Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
Automates attribution-graph analysis via probe prompting: circuit-trace a prompt, auto-generate concept probes, profile feature activations, cluster supernodes.
Research-oriented Node.js toolkit for detecting and removing Gemini sparkle watermarks from PNG images.
CLI toolkit that ingests qk-sniffer dumps, measures per-head positional predictability and attention plasticity, and exports CSV stats plus ready-to-share plots.
A very simple webscraper for grabbing the contents of pages linked to from a start page (for example, grabbing all the press releases from a "press releases" page)
Reproducible tooling for delay-dispute outcome prediction and responsibility diagnostics.
a little tool to graph how many results there are for a search term on google scholar per year
Lean 4 library + CLI for rigorous bounds in transformer computations (mechanistic interpretability)
This repository introduces an adaptive formula inspired by the CHSH logic, designed to evaluate, test, and improve model performance across multiple conditions. By adapting CHSH principles into a flexible structure, it provides a systematic way to analyze results, ensure reliability, and explore deeper insights in experimentation.
Deterministic, auditable Lean 4 + mathlib reasoning instrument (not an oracle): contracts, assumption surfacing, reduction scaffolds, dashboard + PDF reports.
Local-first Neo4j research entity graph for indexing concepts, claims, evidence, and cross-project relationships.
Automated RSS screening of academic papers using Claude Haiku for S2S climate research.
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