v1.9.0

What's Changed

• Fix Exploratory Analysis Demo by @alan-cooney in #429
• Sync readme with docs by @alan-cooney in #428
• Move cspell conf to its own file by @alan-cooney in #431
• Improve ActivationCache docs by @alan-cooney in #432
• Improve getting started docs for Activation Cache by @alan-cooney in #433
• Add docs hot reloading instructions for contributors by @alan-cooney in #436
• Make unit & acceptance tests run in parallel by @alan-cooney in #435
• Update GitHub CD Actions by @alan-cooney in #437

Full Changelog: v1.8.1...v1.8.2

v1.8.1

What's Changed

• Fix all Sphinx warnings by @alan-cooney in #422

Full Changelog: v1.8.0...v1.8.1

v1.8.0

What's Changed

• Add status icons to the readme by @alan-cooney in #415
• Improve attention masking and key-value caching. by @UFO-101 in #386
• Remove Python 3.7 support by @alan-cooney in #423
• Update docs to show prepend_bos and padding_side are optional by @UFO-101 in #418
• Add Python 3.11 Support by @alan-cooney in #425
• Return the current residual when stop_at_layer is not None. by @UFO-101 in #420
• Add contributing instructions by @alan-cooney in #426

Full Changelog: v1.7.0...v1.8.0

v1.7.0

What's Changed

• Add start_at_layer parameter to HookedTransformer by @UFO-101 in #382
• fix: Set IGNORE value in mask to -torch.inf by @connor-henderson in #366
• bug fix attention inf by @jbloomAus in #389
• Bugfix attn left padding by @jbloomAus in #390
• Add developer tooling defaults & VS Code extensions by @alan-cooney in #394
• Fix llama tokenization issue by using tokenizer initialized with add_bos_token=True by @soheeyang in #379
• Move towards consistent commenting/docstring style by @alan-cooney in #395
• Speed up docs generation by @alan-cooney in #396
• Add hook_attn_in by @ArthurConmy in #336
• Added explicit dtype option by @neelnanda-io in #388
• Support PyTorch 2 with Poetry by @alan-cooney in #397
• Remove .venv from formatting checks by @alan-cooney in #401
• Add auto-organise imports on save in VsCode by @alan-cooney in #410
• Fix SolidGoldMagikarp tokenization test by @ArthurConmy in #408
• Add a summary docstring to the sub-modules by @alan-cooney in #407
• Remove unused root directory files by @alan-cooney in #406
• Simplify Docs Generation by @alan-cooney in #398
• Fix GitHub pages deploy by @alan-cooney in #412
• Fix optional types in HookedTransformer by @alan-cooney in #403
• Improve Hooked Transformer Docs by @alan-cooney in #400
• Improve API Docs Organization by @alan-cooney in #399
• Add docstring testing by @alan-cooney in #402
• Fix tokenization in utils.test_prompt by @Felhof in #334

New Contributors

• @UFO-101 made their first contribution in #382
• @connor-henderson made their first contribution in #366

Full Changelog: v1.6.1...v1.7.0

v1.6.1

What's Changed

• Add support for left padding by @soheeyang in #344
• Added gated MLP Hooks by @neelnanda-io in #374
• added support for pythia 160m seeds by @will-hath in #377
• Remove lru caching of weights by @ArthurConmy in #381
• Implement hook_mlp_in for parallel attention/MLP models by @ArthurConmy in #380

New Contributors

• @will-hath made their first contribution in #377

Full Changelog: v1.6.0...v1.6.1

v1.6.0

What's Changed

• Fix FactoredMatrix bug by @callummcdougall in #367
• Fix to automatically infer add_special_tokens for tokenizer by @soheeyang in #370

Full Changelog: v1.5.0...v1.6.0

(Release requested by @callummcdougall for bugfix),

v1.5.0

What's Changed

• Fix generate() by adding greedy decoding code for do_sample=False by @soheeyang in #358
• Updated readme by @neelnanda-io in #360
• Fix bug in rotary embedding for models other than llama and gpt-neo by @soheeyang in #365
• Switch to beartype by @dkamm in #325

Full Changelog: v1.4.0...v1.5.0

v1.4.0

Note: There is a bug in GPT-J in this version.

What's Changed

• Halve GPU memory when loading by @slavachalnev in #333
• Update to hook_mlp_in by @ArthurConmy in #316
• names_filter bug fix by @ArthurConmy in #321
• [Ready] Enable Pytorch GPU acceleration for M1 chips by @luciaquirke in #326
• Introduce Global prepend_bos Attribute to HookedTransformer by @soheeyang in #343
• Fix hook_result shape comment by @ckkissane in #347
• Support for reduced precision (#104) by @glerzing in #317
• Added tiny pythia models by @neelnanda-io in #350
• Add Llama-2 7B and 13B models by @ArthurConmy in #352
• Fix API docs by @Smaug123 in #339
• Enhance the API for default_prepend_bos by @soheeyang in #345
• Integrate StableLM (#254) by @glerzing in #354
• add colab buttons to demos by @ckkissane in #359
• Remove n_devices assert in config by @slavachalnev in #357
• Updated readme by @neelnanda-io in #351
• Scalar multiplication by @matthiasdellago in #355

New Contributors

• @soheeyang made their first contribution in #343
• @Smaug123 made their first contribution in #339
• @matthiasdellago made their first contribution in #355

Full Changelog: v1.3.0...v1.4.0

v1.3.0

What's Changed

• fix outdated link in Exploratory Analysis Demo by @daspartho in #259
• Finish patching docs by @ckkissane in #261
• Fix from_pretrained with redwood_attn_2l by @ArthurConmy in #268
• Added list of demos to tutorial section. by @JayBaileyCS in #263
• Improving head detector by @MatthewBaggins in #255
• Optimize imports in HookedTransformer by @rusheb in #260
• Baidicoot main - Implemented functionality for loading mingpt-style models off HF (e.g. othello-gpt) by @jbloomAus in #272
• Upgrade to typeguard 3 by @dkamm in #269
• Install autoformatting tools and add formatting checks to CI by @rusheb in #270
• Add TransformerLens logo to docs and GitHub by @koayon in #273
• Wrap docstrings and comments in HookedTransformer by @luciaquirke in #274
• Format array in test_transformer_lens.py by @rusheb in #275
• Introducing HookedEncoder by @rusheb in #276
• Add tests for tokenization methods by @Aprillion in #280
• Fix broken link in issue template by @rusheb in #278
• Various memory solutions. Ultimately used gc to "hide" memory issue which should be solved soon. by @jbloomAus in #296
• FactoredMatrix getitem (#224) by @glerzing in #295
• Add tiny stories by @Felhof in #292
• from_pretrained custom parameters (#288) by @glerzing in #298
• Add better __name__ annotation to full_hooks by @ArthurConmy in #302
• Multiple minor corrections by @glerzing in #301
• Add get_basic_config util function by @adamyedidia in #294
• Fix bug: HookedEncoder not being moved to GPU by @rusheb in #307
• Fix tokenization tests on GPU by @rusheb in #308
• Add prepend option to model.add_hook by @ArthurConmy in #303
• Fix tiny stories model names by @Felhof in #305
• Add hook_mlp_in by @ArthurConmy in #313
• Ignore some functions in the documentation (#310) by @glerzing in #312
• Add assertion to refactor_factored_attn_matrices by @ArthurConmy in #320
• Update evals.py to not directly call cuda, instead have default cuda … by @dennis-akar in #324
• Add SVD interpretability feature to TransformerLens by @JayBaileyCS in #311
• Fix svd tests on GPU by @slavachalnev in #330
• Reduce memory use when loading model by @slavachalnev in #327

New Contributors

• @MatthewBaggins made their first contribution in #255
• @koayon made their first contribution in #273
• @luciaquirke made their first contribution in #274
• @Aprillion made their first contribution in #280
• @glerzing made their first contribution in #295
• @Felhof made their first contribution in #292
• @dennis-akar made their first contribution in #324

Full Changelog: v1.2.2...v1.3.0

v1.2.2

What's Changed

Too many commit messages so let's summarise them.

General Features

• Pipeline Parallelism
• Cache now doesn't move tensors across devices unless told to

New Models:

• Redwood 2L
• New Pythia Models
• LLaMA

Analysis Features:

• Add apply_ln to stack_head_results and stack_neuron_results
• Context Manager for Hooks
• Attention Head Detectors

Thanks to all the Contributors!

Many thanks to: @rusheb, @ckkissane, @slavachalnev, @JayBaileyCS, @zshn-gvg, @jbloomAus, @adzcai, @adamyedidia, @ArthurConmy, @bryce13950, @daspartho, @haileyschoelkopf, @0amp

Full Changelog: v1.2.1...v1.2.2