interpretability-toolkit/pyproject.toml at master · MaxwellCalkin/interpretability-toolkit · GitHub

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "interpretability-toolkit"
version = "0.2.0"
description = "Practical tools for mechanistic interpretability of neural networks"
readme = "README.md"
license = "MIT"
requires-python = ">=3.10"
authors = [
    { name = "Maxwell Calkin", email = "mcalkinmusic@gmail.com" },
]
keywords = [
    "mechanistic-interpretability",
    "ai-safety",
    "transformers",
    "neural-networks",
    "activation-patching",
    "circuit-discovery",
]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
    "numpy>=1.24",
    "torch>=2.0",
]

[project.optional-dependencies]
transformers = ["transformers>=4.36"]
viz = ["matplotlib>=3.7"]
gpu = ["torch>=2.0"]
all = ["transformers>=4.36", "matplotlib>=3.7"]
dev = ["pytest>=7.0", "ruff>=0.1"]

[project.urls]
Homepage = "https://github.com/MaxwellCalkin/interpretability-toolkit"
Repository = "https://github.com/MaxwellCalkin/interpretability-toolkit"

[tool.ruff]
line-length = 100
target-version = "py310"