bump: version 2.0.0b24 → 2.0.0b25

Author: github-actions[bot]

CHANGELOG.md

@@ -1,3 +1,90 @@
+## v2.0.0b25 (2026-04-10)
+
+
+- Merge pull request #206 from OpenMOSS/dev
+- Release: QK Tracing
+- feat(server): support qk tracing
+- refactor(circuits): move Dimensioned to indexed_tensor
+- feat(server): support host mode
+- feat(circuits): support nodes_to_offsets with unregistered nodes (returns -1)
+- refactor(attribution): replace generic D container with Dimensioned for improved type safety and clarity
+- refactor(attribution): unify QK tracing via generic D container and Hessian matrix
+- chore: enforce commitizen pre-commit rules
+- chore: ignore claude artifacts and drop BaseSAEConfig alias
+- refactor(circuits): serialize AttributionResult using torch.save
+- fix(server): preload models on workers & fix distributed function registration
+- fix(circuits): fix full_tensor and to device to transfer all fields properly
+- feat(server): support distributed circuit tracing
+- fix(backend): relax input constraint to allow non-tensor input in distributed settings
+- feat(circuits): support full_tensor and to device in AttributionResult
+- feat(examples): add script for QK tracing in attribute() with model loading and replacement modules
+- feat(circuits): integrate QK tracing into attribute() pipeline
+- chore(deps): bump pygments from 2.19.2 to 2.20.0
+- Bumps [pygments](https://github.com/pygments/pygments) from 2.19.2 to 2.20.0.
+- [Release notes](https://github.com/pygments/pygments/releases)
+- [Changelog](https://github.com/pygments/pygments/blob/master/CHANGES)
+- [Commits](https://github.com/pygments/pygments/compare/2.19.2...2.20.0)
+- ---
+updated-dependencies:
+- dependency-name: pygments
+  dependency-version: 2.20.0
+  dependency-type: indirect
+...
+- Signed-off-by: dependabot[bot] <support@github.com>
+- chore(deps): bump requests from 2.32.5 to 2.33.0
+- Bumps [requests](https://github.com/psf/requests) from 2.32.5 to 2.33.0.
+- [Release notes](https://github.com/psf/requests/releases)
+- [Changelog](https://github.com/psf/requests/blob/main/HISTORY.md)
+- [Commits](https://github.com/psf/requests/compare/v2.32.5...v2.33.0)
+- ---
+updated-dependencies:
+- dependency-name: requests
+  dependency-version: 2.33.0
+  dependency-type: indirect
+...
+- Signed-off-by: dependabot[bot] <support@github.com>
+- chore(deps): bump nltk from 3.9.3 to 3.9.4
+- Bumps [nltk](https://github.com/nltk/nltk) from 3.9.3 to 3.9.4.
+- [Changelog](https://github.com/nltk/nltk/blob/develop/ChangeLog)
+- [Commits](https://github.com/nltk/nltk/compare/3.9.3...3.9.4)
+- ---
+updated-dependencies:
+- dependency-name: nltk
+  dependency-version: 3.9.4
+  dependency-type: indirect
+...
+- Signed-off-by: dependabot[bot] <support@github.com>
+- chore(deps): bump aiohttp from 3.13.3 to 3.13.4
+- ---
+updated-dependencies:
+- dependency-name: aiohttp
+  dependency-version: 3.13.4
+  dependency-type: indirect
+...
+- Signed-off-by: dependabot[bot] <support@github.com>
+- chore(deps): bump tornado from 6.5.4 to 6.5.5
+- Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.5.4 to 6.5.5.
+- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
+- [Commits](https://github.com/tornadoweb/tornado/compare/v6.5.4...v6.5.5)
+- ---
+updated-dependencies:
+- dependency-name: tornado
+  dependency-version: 6.5.5
+  dependency-type: indirect
+...
+- Signed-off-by: dependabot[bot] <support@github.com>
+- fix(circuits): detach ref tensor
+- chore: remove some timers in lorsa and sae
+- chore(dependencies): add numba to dev dependencies
+- fix(circuits): only encode once in apply_saes
+- perf(circuits): use multi_batch_index
+- perf(circuits): use batch index & move source values out of loop
+- feat: implement batch_index to replace the torch DTensor indexing
+- perf: improve tp attribution
+- Use local Dimension; merge NodeInfoRef before doing values
+- fix: abstopk
+- fix: use abstopk in feature activation function
+
 ## v2.0.0b24 (2026-04-04)
 
 ### Fix

README.md

@@ -35,13 +35,13 @@
 Use [pip](https://pypi.org/project/pip/) to install Language-Model-SAEs:
 
 ```bash
-pip install lm-saes==2.0.0b24
+pip install lm-saes==2.0.0b25
 ```
 
 We also highly recommend using [uv](https://docs.astral.sh/uv/) to manage your own project dependencies. You can use
 
 ```bash
-uv add lm-saes==2.0.0b24
+uv add lm-saes==2.0.0b25
 ```
 
 to add Language-Model-SAEs as your project dependency.

docs/index.md

@@ -24,7 +24,7 @@ This library provides:
     To add our library as a project dependency, run:
 
     ```bash
-    uv add lm-saes==2.0.0b24
+    uv add lm-saes==2.0.0b25
     ```
 
     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:
@@ -38,7 +38,7 @@ This library provides:
     Of course, you can also directly use [pip](https://pypi.org/project/pip/) to install our library. To install our library with pip, run:
 
     ```bash
-    pip install lm-saes==2.0.0b24
+    pip install lm-saes==2.0.0b25
     ```
 
     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

@@ -1,6 +1,6 @@
 [project]
 name = "lm-saes"
-version = "2.0.0b24"
+version = "2.0.0b25"
 description = "For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research. Open-sourced and constantly updated."
 dependencies = [
     "transformer-lens>=2.16.2",