Sae-lens

Feature

* feat: trigger release ([`1a4663b`](https://github.com/jbloomAus/SAELens/commit/1a4663b7eadb42682586697e72192346c66cf430))

Unknown

* Performance improvements + using multiple GPUs. (189)

* fix: no grads when filling cache

* trainer should put activations on sae device

* hack to allow sae device to be specific gpu when model is on multiple devices

* add some tests (not in CI, which check multiple GPU performance

* make formatter typer happy

* make sure SAE calls move data between devices as needed ([`400474e`](https://github.com/jbloomAus/SAELens/commit/400474eaf758d57ea4090fd08e84cbdd91d55cc4))

Fix

* fix: allow settings trust_remote_code for new huggingface version (187)

* fix: allow settings trust_remote_code for new huggingface version

* default to True, not none

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Co-authored-by: jbloomAus <jbloomausgmail.com> ([`33a612d`](https://github.com/jbloomAus/SAELens/commit/33a612d7f694390a5a4596f7e15e0c51657634ba))

Feature

* feat: Adding Mistral SAEs (178)

Note: normalize_activations is now a string and should be either &39;none&39;, &39;expected_average_only_in&39; (Anthropic April Update, not yet folded), &39;constant_norm_rescale&39; (Anthropic Feb update).

* Adding code to load mistral saes

* Black formatting

* Removing library changes that allowed forward pass normalization

* feat: support feb update style norm scaling for mistral saes

* Adding code to load mistral saes

* Black formatting

* Removing library changes that allowed forward pass normalization

* Adding code to load mistral saes

* Black formatting

* Removing library changes that allowed forward pass normalization

* feat: support feb update style norm scaling for mistral saes

* remove accidental inclusion

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Co-authored-by: jbloomAus <jbloomausgmail.com> ([`227d208`](https://github.com/jbloomAus/SAELens/commit/227d2089f6fdadb54b5554056eb7721574608b58))

Unknown

* Update README.md Slack Link Expired (this one shouldn&39;t expire) ([`209696a`](https://github.com/jbloomAus/SAELens/commit/209696a4f74007559a650ad5357c4fd923205923))

* add expected perf for pretrained (179)

Co-authored-by: jbloom-md <josephmassdynamics.com> ([`10bd9c5`](https://github.com/jbloomAus/SAELens/commit/10bd9c58fd4d731bd453e49943d40f2ac01ff0fc))

* fix progress bar updates (171) ([`4d92975`](https://github.com/jbloomAus/SAELens/commit/4d92975cc1aa8cd7485e73597fd52e13a0f8e44e))

Feature

* feat: updating docs and standardizing PretokenizeRunner export (176) ([`03f071b`](https://github.com/jbloomAus/SAELens/commit/03f071b41e77ef07c8f8b892e52969337f5e94aa))

Unknown

* add tutorial (175) ([`8c67c23`](https://github.com/jbloomAus/SAELens/commit/8c67c2355211910bc5054ba9bc140e98424fa026))

Fix

* fix: allow tutorial packages for colab install to use latest version (173)

fix: allow tutorial packages for colab install to use latest version (173) ([`f73cb73`](https://github.com/jbloomAus/SAELens/commit/f73cb73072e006f6dda0984e05e8accda014a2d8))

Unknown

* fix pip install in HookedSAETransformer Demo (172) ([`5d0faed`](https://github.com/jbloomAus/SAELens/commit/5d0faedf868d6e68035527a52ba718807e8ed196))

Fix

* fix: removing truncation in activations store data loading (62) ([`43c93e2`](https://github.com/jbloomAus/SAELens/commit/43c93e2c3e19e9e9d81b48d3a472d894dac83d65))