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bump: version 2.0.0b29 → 2.0.0b30
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CHANGELOG.md

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## v2.0.0b30 (2026-04-16)
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- Merge pull request #215 from OpenMOSS/dev
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- Release: TP support in QK tracing & perf attribution
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- fix(circuits): basedpyright type error in NodeInfo.is_identity
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- fix(circuits): use NodeInfo.is_identity for source split correctness
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- perf(circuits): batch identity-indexed sources in attribution_scores
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- perf(circuits): memoize NodeRefs.values and cache multi_batch_index shape meta
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- fix(circuits): TP-aware QK tracing and DTensor invariants
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## v2.0.0b29 (2026-04-15)
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README.md

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Use [pip](https://pypi.org/project/pip/) to install Language-Model-SAEs:
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```bash
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pip install lm-saes==2.0.0b29
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pip install lm-saes==2.0.0b30
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```
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We also highly recommend using [uv](https://docs.astral.sh/uv/) to manage your own project dependencies. You can use
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```bash
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uv add lm-saes==2.0.0b29
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uv add lm-saes==2.0.0b30
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```
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to add Language-Model-SAEs as your project dependency.

docs/index.md

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To add our library as a project dependency, run:
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```bash
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uv add lm-saes==2.0.0b29
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uv add lm-saes==2.0.0b30
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```
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We also support [Ascend NPU](https://github.com/Ascend/pytorch) as an accelerator backend. To add our library as a project dependency with NPU dependency constraints, run:
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Of course, you can also directly use [pip](https://pypi.org/project/pip/) to install our library. To install our library with pip, run:
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```bash
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pip install lm-saes==2.0.0b29
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pip install lm-saes==2.0.0b30
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```
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We also support [Ascend NPU](https://github.com/Ascend/pytorch) as an accelerator backend. To install our library with NPU dependency constraints, run:

pyproject.toml

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[project]
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name = "lm-saes"
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version = "2.0.0b29"
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version = "2.0.0b30"
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description = "For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research. Open-sourced and constantly updated."
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dependencies = [
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"transformer-lens>=2.16.2",

uv.lock

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