v0.1.6

What's Changed

• [Minor] Fix intervention return objects by @frankaging in #186
• [Minor] Adding interchange intervention for SAEs by @frankaging in #187
• [Minor] Link fix by @frankaging in #188
• [P1] Update the version requirement for transformers and its dependencies. by @explanare in #189
• [P2] Add Gemma 2 model by @explanare in #190

Full Changelog: v0.1.5...v0.1.6

v0.1.5

What's Changed

• more docs changes by @aryamanarora in #170
• [P2] Add OLMo models. by @explanare in #182
• [Minor] Update dependency by @frankaging in #185

Full Changelog: v0.1.4...v0.1.5

v0.1.4: Minor updates on versioning

What's Changed

• [Minor] Updating the import to bypass blip in case of failure by @frankaging in #180

Full Changelog: v0.1.3...v0.1.4

v0.1.3: Infrastructure updates and bug updates

What's Changed

• [Bug-Fix] fix attention head intervention for multiple models by @Bakser in #159
• [P2] Add Sparse Autoencoder Interventions by @explanare in #164
• [P0] Revert back the kwargs argument for intervention init by @frankaging in #166
• [P0] First infrastructure change to support NDIF backend by @frankaging in #167
• [P2] Save/load trainable params in IntervenableBase methods by @aryamanarora in #153
• [P1] Start docs website by @aryamanarora in #169
• device of unit_locations should follow tensor_input by @aryopg in #171
• [Minor] Fix use_cache flag propagation by @frankaging in #172
• [Minor] Fix the base model use_cache arg passing by @frankaging in #173
• [Minor] Update use_cache intervenable_base.py by @frankaging in #175
• [Minor] Start to support generic intervention output, and adaptor-like tuning by @frankaging in #177
• add support for dict outputs (select the first value) by @leogagnon in #178
• [Minor] Update the huggingface-hub version by @frankaging in #179

New Contributors

• @Bakser made their first contribution in #159
• @explanare made their first contribution in #164
• @aryopg made their first contribution in #171
• @leogagnon made their first contribution in #178

Full Changelog: v0.1.2...v0.1.3

v0.1.2

What's Changed

• [P0] make sure config only has strs by @aryamanarora in #144
• [Minor] Update README.md by @frankaging in #145
• [P1] Add Gemma + minor fixes by @aryamanarora in #149
• Add Llava integration to Pyvene by @ZhengPeterWang in #151
• [Minor] Adding use_cache flag to intervenable model forward call by @AmirZur in #152
• Update visualization code for causal model and rotation matrices by @atticusg in #156
• [Minor] Remove ortho init for DAS by @frankaging in #160
• [Minor] Bump up version by @frankaging in #161

New Contributors

• @AmirZur made their first contribution in #152

Full Changelog: v0.1.1...v0.1.2

v0.1.1: Cleanup requirements

What's Changed

• [P0] removing seaborn dependency by @frankaging in #143

Full Changelog: v0.1.0...v0.1.1

v0.1.0: Fix requirements

What's Changed

• Zen/update0.0.9 by @frankaging in #142

Full Changelog: v0.0.9...v0.1.0

v0.0.9: Minor updates on causal models

What's Changed

• [Minor] Revert CausalModel to accept input/output functions when generating factual/counterfactual datasets by @amirzur2023 in #137
• [P0] Adding back GPT2 and other model supports by @frankaging in #139
• [P0] fix requirements.txt by @aryamanarora in #140
• [Minor] version bump by @frankaging in #141

Full Changelog: v0.0.8...v0.0.9

v0.0.8: Minor updates on model APIs

What's Changed

• [Minor] Add in trainable intervention based on binary mask intervention by @frankaging in #102
• [P1] Gradent interventions tests by @ZhengPeterWang in #103
• [Minor] Adding retry to gradient test cases to avoid failure by @frankaging in #104
• [Minor] Adding support for any two-input lambda interventions; ResNet tutorials (no config) by @frankaging in #105
• [Minor] Enable gradient for base inputs by @frankaging in #107
• [Minor] Adding an exploratory tutorial on voting in LLaMA by @frankaging in #108
• [P1] Added BLIP-ITM model definitions by @KhoomeiK in #106
• [Minor] Fix typo in the voting tutorial; fix a bug in generation by @frankaging in #109
• [Minor] Adding in subspace support for lambda by @frankaging in #113
• Merge main into peterwz by @ZhengPeterWang in #115
• [P1] Update transformers version by @ZhengPeterWang in #116
• Add GPT2 for sequence classification by @atticusg in #117
• [P1] Disable base output by default in fwd() and gen() by @frankaging in #118
• [P2] IOI replication notebooks by @aryamanarora in #119
• [P0] Rename train/evaluate methods so train/eval can set model state by @aryamanarora in #120
• [P1] Add IntervenableModel.named_parameters() by @aryamanarora in #122
• [P0] Fix unseen model type support by @frankaging in #123
• [Minor] Support zero_grad as a module by @frankaging in #124
• [Minor] Allow other field passing in generate besides input_ids by @frankaging in #125
• [Minor] Loading interventions as non-static method by @frankaging in #126
• [Minor] Expose more APIs for loading and saving by @frankaging in #127
• [Minor] Update README.md by @frankaging in #128
• [Minor] Allow sharing interventions across multiple positions by @frankaging in #129
• [Minor] Fix the pyvene101 with correct examples by @frankaging in #130
• Test Cases for Causal Model, MQNLI Intro Notebook by @amirzur2023 in #131
• [Minor] Update README.md with the correct citation link by @frankaging in #132
• [Minor] Update CONTRIBUTING.md by @eltociear in #133
• [Minor] Support MistralModel and MistralForCausalLM by @jiudingsun01 in #135
• [Minor] Accepting labels field for loss calculation by @frankaging in #136

New Contributors

• @KhoomeiK made their first contribution in #106
• @amirzur2023 made their first contribution in #131
• @eltociear made their first contribution in #133

Full Changelog: v0.0.7...v0.0.8

v0.0.7: Major API updates with additional intervention supports

Descriptions:

• Remove redundant keywords Intervenable for singleton classes or types everywhere.
• API supports a wide range of dynamic casting, and dynamic broadcasting.
• Providing additional code examples on intervention sharing and complex causal intervention schemes.
• Update basic 101 tutorials with simple onboarding examples.

What's Changed

• Make self.embed_dim not None. by @ZhengPeterWang in #49
• [Minor] allow dynamic boundary init for boundless das by @frankaging in #50
• [Minor] Minor change to test with num of label by @frankaging in #55
• [Minor] add simple location broadcast for easy interface (#52) by @frankaging in #56
• [Minor] update test name by @frankaging in #58
• [P1] Adding in constant source intervention support with new tests by @frankaging in #59
• [Minor] Add in full causal tracing fig 1 reproduced results by @frankaging in #60
• [Minor] Update to full reproduce result fig1 the ROME paper by @frankaging in #61
• [Minor] incidental changes to the tutorials for updated results by @frankaging in #65
• Zen/causaltracingfull by @frankaging in #66
• [Minor] update broadcast in generation by @frankaging in #69
• Model generation API simplified and cleanup tech debt on redundant variables by @frankaging in #70
• [Bug Fix] Topological order scoring is not accurate by @frankaging in #75
• [Major] Update API namings and parameters by @frankaging in #78
• [Minor] Update a few doc links by @frankaging in #79
• [Minor] Add Viz by @frankaging in #80
• gather_neurons() unit tests by @ZhengPeterWang in #81
• Add preliminary scatter() function tests by @ZhengPeterWang in #82
• Add an extra test on scatter_neurons() testing case with no head. by @ZhengPeterWang in #84
• [Minor] Support backpack and replicate by @frankaging in #85
• [Bug fix] fix backpack init by @frankaging in #87
• More scatter_neurons() tests by @ZhengPeterWang in #88
• [Minor] fix requirements.txt to have a more stable Colab experience (#86) by @frankaging in #89
• Update datagenerators to support tokenizing for LMs by @atticusg in #91
• [Major] Update with string access and code refactory (#83) by @frankaging in #93
• [Minor] adding PR and BUG template by @frankaging in #94
• Model utils tests for GPT-2 by @ZhengPeterWang in #92
• [Minor] Support ITI Paper Results (#68) by @frankaging in #95
• [P1] Adaptive changes with pyvene 101 colab by @ZhengPeterWang in #96
• [Minor] Fix gradient backprop trainables with upstream interventions by @frankaging in #97
• [P0] remove autograd debugging by @aryamanarora in #98
• [P2] Update probing tutorial by @aryamanarora in #99
• [P1] Add intervention util unit tests by @ZhengPeterWang in #100
• [Minor] Bump up pip version by @frankaging in #101

Full Changelog: v0.0.6...v0.0.7