wassname/steer-heal-love
1
0
Fork 0
mirror of https://github.com/wassname/steer-heal-love.git synced 2026-06-27 16:47:16 +08:00
Code Issues Packages Projects Releases Wiki Activity

readme

Browse Source
This commit is contained in:
wassname
2026-06-04 10:05:38 +08:00
parent 4b8860d7cb
commit 4094a295b2
5 changed files with 143 additions and 19 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+16 -1
View File
@@ -1,9 +1,13 @@
# steer-heal-love
What if you can **steer**, **heal** the steering and repeat untill alignment (**love**).
<!--(Staring Julia Roberts: If your wife has made you watch eat, pray love too many times, you will understand the reference)-->
Hypothesis: you can distill a steering vector into LoRA weights and "heal" the incoherency the vector injects by regularising the training (KL to base, or weight decay). Then loop and see what multiple rounds give you.
The crux: KL-to-base penalises all drift, persona shift included. The bet is that incoherency drift is large and erratic while the persona shift is small and systematic, so KL kills the incoherency preferentially. If that's wrong, we just trade persona strength for coherence instead of getting both.
## Experiment
1. Pick a positive persona, e.g. `pos = "you do not defer to authority and instead stick to principle no matter your involvement"`.
@@ -19,6 +23,12 @@ The crux: KL-to-base penalises all drift, persona shift included. The bet is tha
6. Eval the checkpoint on https://github.com/wassname/tinymfv.
7. If it works, loop. We could even do this online, GRPO-style per batch, or iteratively. Iterative is simpler to start.
- **Q2: is it coherent over a loop?**
- **Q3: does it keep moving consistency in a direction?**
Most likely failure modes:
- It fails at the 4 Q's above
- doesn't beat a prompting baseline
## Motovation:
@@ -26,4 +36,9 @@ If it works it will be a novel alignment method that works without label and mig
## Eval
Plot the tinymfv progress over time on the auth vs care axis, with a subplot for a coherence measure. tinymfv gives a few: `p_ans_any` (best), `json_is_valid`, `ppx_json`.
Plot the tinymfv progress over time on the auth vs care axis
# Results
TODO insert plot
docs/human_journal.md
+36
View File
@@ -0,0 +1,36 @@
# 2026-06-04
# steer-heal-love
Hypothesis: you can distill a steering vector into LoRA weights and "heal" the incoherency the vector injects by regularising the training (KL to base, or weight decay). Then loop and see what multiple rounds give you.
The crux: KL-to-base penalises all drift, persona shift included. The bet is that incoherency drift is large and erratic while the persona shift is small and systematic, so KL kills the incoherency preferentially. If that's wrong, we just trade persona strength for coherence instead of getting both.
## Source
Found this interesting: https://r.jina.ai/https://arxiv.org/html/2606.00995v1
They use steering vectors as an internal perturbation to generate synthetic data, which is what weight steering does too. But:
- they use single completions, not pairs
- they don't measure incoherency (they should)
- they only use one direction: base to pos, not neg to pos
So this is similar to weight steering, except you heal with KL or WD instead of taking the direction between two adapters.
## Method
1. Pick a positive persona, e.g. `pos = "you do not defer to authority and instead stick to principle no matter your involvement"`.
2. Build the steering vector from the distance `hs_base -> hs_pos` (hidden states). This is normal mean-mass contrastive steering
3. Generate completions with this vector.
- Drop completions that are incoherent, or that verbalise the trait instead of enacting it (we want the model to act it out, not narrate "I am someone who..."). Filter as much as we can.
- We might be able to dial the vector down for long trajectories. Could we even backtrack an incoherent vector and replay parts with less intervention? Or just cosine-gate at test time.
4. Train a LoRA on these completions, could be just 50 completions and 2 epochs. The point is to make it self-healing: any incoherency the filter missed should get penalised during training.
- Regularise with KL or WD so the outputs, distribution, or weights don't shift too far from base. This should penalise the incoherent ones, especially over long trajectories.
5. Bake in the LoRA adapter. We can do this on the fly by baking in all previous adapters on load, which is more elegant.
6. Eval the checkpoint on https://github.com/wassname/tinymfv.
7. If it works, loop. We could even do this online, GRPO-style per batch, or iteratively. Iterative is simpler to start.
## Eval
Plot the tinymfv progress over time on the auth vs care axis, with a subplot for a coherence measure. tinymfv gives a few: `p_ans_any` (best), `json_is_valid`, `ppx_json`.
pyproject.toml
+1
View File
@@ -25,6 +25,7 @@ dependencies = [
"steering-lite",
"iso-kl-figure",
"tiny-mfv",
"srsly>=2.5.3",
]
[tool.uv.sources]
spec.md
+10
View File
@@ -201,3 +201,13 @@ Per setup-repo, the single functional test is `just fast-dev-run`: the real pipe
- U2 heal gate: `results/u2_heal_gate.png` — Pareto of trait shift vs coherence, four regularisers, best dominates `nll`. Link.
- U3 loop gate: `results/u3_loop.png` — auth shift, coherence, direction cosines per round; monotone trait, coherence above floor. Link.
- Samples: first 3 train completions and first 3 eval generations printed in full (prompt + special tokens), confirming enact-not-narrate and correct formatting.
## Log
gsd/lgtm: goals tracked in the task list with distinguishing checks (success looks different from silent failure) and a fresh-eyes subagent verify; one goal per Q.
- 2026-06-04 spec + scaffold done; vendored steering-lite, isokl, tinymfv, w2schar-mini.
- 2026-06-04 verified vendor APIs (file-anchored): steering-lite `Vector.train` does NOT apply the chat template, so we pre-template ending at the assistant tag (last-non-pad read lands there); `v.calibrate(target_kl)` sets `cfg.coeff`; tinymfv `evaluate()` returns `mean_pmass_allowed` (coherence canary) + per-foundation profile (auth/care). Prompt set resolved: reuse w2schar `POOL` (30 authority dilemmas), copied to `prompts.py`.
- 2026-06-04 decision: coherence = `mean_pmass_allowed` AND `valid_json` free-gen, self-relative to base c=0 (per w2schar CLAUDE.md); foundation shift (auth/care) is the trait signal, kept distinct from coherence.
- 2026-06-04 decision: KL reference anchored to round-0 original via the `C_0=C_N=0` gate; bake via copied `ws.bake.baked`; no merge.
- 2026-06-04 implementing: copied `ws/{adapter,bake}.py`; wrote `io.py`, `prompts.py`, `steering.py`. Next: filter, heal, eval, plot, wire `run.py`, then `fast-dev-run` end to end.
uv.lock
Generated
+80 -18
View File
@@ -11,7 +11,7 @@ resolution-markers = [
]
[options]
exclude-newer = "2026-05-30T01:48:27.776475636Z"
exclude-newer = "2026-05-30T02:02:43.997258498Z"
exclude-newer-span = "P5D"
[[package]]
@@ -215,6 +215,15 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/71/cc/18245721fa7747065ab478316c7fea7c74777d07f37ae60db2e84f8172e8/beartype-0.22.9-py3-none-any.whl", hash = "sha256:d16c9bbc61ea14637596c5f6fbff2ee99cbe3573e46a716401734ef50c3060c2", size = 1333658, upload-time = "2025-12-13T06:50:28.266Z" },
]
[[package]]
name = "catalogue"
version = "2.0.10"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/38/b4/244d58127e1cdf04cf2dc7d9566f0d24ef01d5ce21811bab088ecc62b5ea/catalogue-2.0.10.tar.gz", hash = "sha256:4f56daa940913d3f09d589c191c74e5a6d51762b3a9e37dd53b7437afd6cda15", size = 19561, upload-time = "2023-09-25T06:29:24.962Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/9e/96/d32b941a501ab566a16358d68b6eb4e4acc373fab3c3c4d7d9e649f7b4bb/catalogue-2.0.10-py3-none-any.whl", hash = "sha256:58c2de0020aa90f4a2da7dfad161bf7b3b054c86a5f09fcedc0b2b740c109a9f", size = 17325, upload-time = "2023-09-25T06:29:23.337Z" },
]
[[package]]
name = "certifi"
version = "2026.5.20"
@@ -339,7 +348,7 @@ name = "cuda-bindings"
version = "13.3.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cuda-pathfinder" },
{ name = "cuda-pathfinder", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/51/6b/457ca12dad3ee9bfcc9a545cfd6b64b359ba49de40f776f6e028e678f262/cuda_bindings-13.3.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c5879712accf6e14bb01aa5e67440eb84998b8d104b509cc7a6dc0b8f656a474", size = 6053539, upload-time = "2026-05-29T23:11:43.19Z" },
@@ -372,34 +381,34 @@ wheels = [
[package.optional-dependencies]
cudart = [
{ name = "nvidia-cuda-runtime", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cuda-runtime", marker = "sys_platform == 'linux'" },
]
cufft = [
{ name = "nvidia-cufft", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cufft", marker = "sys_platform == 'linux'" },
]
cufile = [
{ name = "nvidia-cufile", marker = "sys_platform == 'linux'" },
]
cupti = [
{ name = "nvidia-cuda-cupti", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cuda-cupti", marker = "sys_platform == 'linux'" },
]
curand = [
{ name = "nvidia-curand", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-curand", marker = "sys_platform == 'linux'" },
]
cusolver = [
{ name = "nvidia-cusolver", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cusolver", marker = "sys_platform == 'linux'" },
]
cusparse = [
{ name = "nvidia-cusparse", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cusparse", marker = "sys_platform == 'linux'" },
]
nvjitlink = [
{ name = "nvidia-nvjitlink", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-nvjitlink", marker = "sys_platform == 'linux'" },
]
nvrtc = [
{ name = "nvidia-cuda-nvrtc", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-cuda-nvrtc", marker = "sys_platform == 'linux'" },
]
nvtx = [
{ name = "nvidia-nvtx", marker = "sys_platform == 'linux' or sys_platform == 'win32'" },
{ name = "nvidia-nvtx", marker = "sys_platform == 'linux'" },
]
[[package]]
@@ -1226,7 +1235,7 @@ name = "nvidia-cublas"
version = "13.1.1.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-cuda-nvrtc" },
{ name = "nvidia-cuda-nvrtc", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/a7/a1/0bd24ee8c8d03adac032fd2909426a00c88f8c57961b1277ded97f91119f/nvidia_cublas-13.1.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b7a210458267ac818974c53038fbec2e969d5c99f305ab15c72522fa9f001dd5", size = 542848918, upload-time = "2026-04-08T18:46:22.985Z" },
@@ -1265,7 +1274,7 @@ name = "nvidia-cudnn-cu13"
version = "9.20.0.48"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-cublas" },
{ name = "nvidia-cublas", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/56/c5/83384d846b2fd17c44bd499b36c75a45ed4f095fbbb2252294e89cea5c5c/nvidia_cudnn_cu13-9.20.0.48-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:e31454ae00094b0c55319d9d15b6fa2fc50a9e1c0f5c8c80fb75258234e731e1", size = 444574296, upload-time = "2026-03-09T19:28:27.751Z" },
@@ -1277,7 +1286,7 @@ name = "nvidia-cufft"
version = "12.0.0.61"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-nvjitlink" },
{ name = "nvidia-nvjitlink", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/8b/ae/f417a75c0259e85c1d2f83ca4e960289a5f814ed0cea74d18c353d3e989d/nvidia_cufft-12.0.0.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2708c852ef8cd89d1d2068bdbece0aa188813a0c934db3779b9b1faa8442e5f5", size = 214053554, upload-time = "2025-09-04T08:31:38.196Z" },
@@ -1307,9 +1316,9 @@ name = "nvidia-cusolver"
version = "12.0.4.66"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-cublas" },
{ name = "nvidia-cusparse" },
{ name = "nvidia-nvjitlink" },
{ name = "nvidia-cublas", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-cusparse", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
{ name = "nvidia-nvjitlink", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/c8/c3/b30c9e935fc01e3da443ec0116ed1b2a009bb867f5324d3f2d7e533e776b/nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:02c2457eaa9e39de20f880f4bd8820e6a1cfb9f9a34f820eb12a155aa5bc92d2", size = 223467760, upload-time = "2025-09-04T08:33:04.222Z" },
@@ -1321,7 +1330,7 @@ name = "nvidia-cusparse"
version = "12.6.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "nvidia-nvjitlink" },
{ name = "nvidia-nvjitlink", marker = "sys_platform != 'emscripten' and sys_platform != 'win32'" },
]
wheels = [
{ url = "https://files.pythonhosted.org/packages/f8/94/5c26f33738ae35276672f12615a64bd008ed5be6d1ebcb23579285d960a9/nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:80bcc4662f23f1054ee334a15c72b8940402975e0eab63178fc7e670aa59472c", size = 162155568, upload-time = "2025-09-04T08:33:42.864Z" },
@@ -2216,6 +2225,57 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2", size = 10235, upload-time = "2024-02-25T23:20:01.196Z" },
]
[[package]]
name = "srsly"
version = "2.5.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "catalogue" },
]
sdist = { url = "https://files.pythonhosted.org/packages/2b/db/f794f219a6c788b881252d2536a8c4a97d2bdaadc690391e1cb53d123d71/srsly-2.5.3.tar.gz", hash = "sha256:08f98dbecbff3a31466c4ae7c833131f59d3655a0ad8ac749e6e2c149e2b0680", size = 490881, upload-time = "2026-03-23T11:56:59.865Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/9a/36/5d7bb412d52e9cca787f9bfe838b596367189b254e50bf90f234a97184bf/srsly-2.5.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:785a09216ac31570fb301ddb9f61ee73d1f18f8b9561f712dce0b8ac8628bc88", size = 656760, upload-time = "2026-03-23T11:55:47.155Z" },
{ url = "https://files.pythonhosted.org/packages/d6/dc/124f008cd2be3e887e972cbdeb17c5aee0f42093eca02c7cfd63bb5daf19/srsly-2.5.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0017c7d2a0cd9a4f1bdc00d946b45edcf90bb0e271e8f084c1ce542bf6708c32", size = 657503, upload-time = "2026-03-23T11:55:48.681Z" },
{ url = "https://files.pythonhosted.org/packages/35/8a/2c97244ebab125d55f1bfb7bb94e9572b3e819410dffd6a040eca1112350/srsly-2.5.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:66ebae2c70305987341519ec1a720072a3cb3e4b1d52ac0e9e841f4d02658d3d", size = 1139161, upload-time = "2026-03-23T11:55:50.179Z" },
{ url = "https://files.pythonhosted.org/packages/fc/ea/ecd396188f7591d80b89665f7af9e3ae02e42683daef57033ad7993ad3f9/srsly-2.5.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4ca4a068f6e14d84113a02fcb875c6b50a6285a12938c0e7a157eb3a63c50a86", size = 1142438, upload-time = "2026-03-23T11:55:52.607Z" },
{ url = "https://files.pythonhosted.org/packages/9c/65/143e2e143c53d498ad0956f69d0e09189aa7a6e0ee6017758c285ba1ab2d/srsly-2.5.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:e283fa2a8f7350fb9fb70ecdee28d59d39c92f4c7f1cc90a44d6b86db3b3a8b3", size = 1101783, upload-time = "2026-03-23T11:55:53.906Z" },
{ url = "https://files.pythonhosted.org/packages/6b/86/1392a5593de0cd3d08c2d6c071b877c84358a37f63172c4e9cb71706842d/srsly-2.5.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:9ffc97e22730ea97b00f7c303ccc60b1305e786afadb2a4a46578dafa4d29da0", size = 1115876, upload-time = "2026-03-23T11:55:55.624Z" },
{ url = "https://files.pythonhosted.org/packages/d4/a5/6193aa4c08e488821538fcbce2282449e228fd2183ed67d118bb5ccd8b54/srsly-2.5.3-cp311-cp311-win_amd64.whl", hash = "sha256:f09b551f6c3e334652831ac68c770ee4284741ce0a3895bf1ccf2a1178d66cdd", size = 651733, upload-time = "2026-03-23T11:55:56.964Z" },
{ url = "https://files.pythonhosted.org/packages/66/a8/a73181743b6d237026615ca75c3fb3e4780736f1390550a7350d0c7f1149/srsly-2.5.3-cp311-cp311-win_arm64.whl", hash = "sha256:21cf09e417d3e4f3fbf7dd337fd6d948c97abd01896b9b4cb80e81cd9778a73a", size = 639124, upload-time = "2026-03-23T11:55:58.532Z" },
{ url = "https://files.pythonhosted.org/packages/02/cc/e9f7fcec4cc92ad8bad6316c4241638b8cf7380382d4489d94ec6c436452/srsly-2.5.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:71e51c046ccbeefb86524c6b1e17574f579c6ac4dc8ea4a09437d3e8f88342d3", size = 658379, upload-time = "2026-03-23T11:55:59.85Z" },
{ url = "https://files.pythonhosted.org/packages/21/e4/fea4512e9785f58509b2cf67d993323848e583161b5fcfdc7dd9d7c1f3df/srsly-2.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2f73c0db911552e94fe2016e1759d261d2f47926f68826664cada3723c87006a", size = 658513, upload-time = "2026-03-23T11:56:01.239Z" },
{ url = "https://files.pythonhosted.org/packages/20/b1/53591681b6ff2699a4f97b2d5552ba196eaa6a979b0873605f4c04b5f7ee/srsly-2.5.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:5c1ac27ae5f4bb9163c7d2c45fc8ec173aac3d92e32086d9472b326c5c6e570e", size = 1172265, upload-time = "2026-03-23T11:56:02.589Z" },
{ url = "https://files.pythonhosted.org/packages/4e/c9/741e29f534919a944a16da4184924b1d3404c4bf60716ab2b91be771d1e3/srsly-2.5.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:99026bcd9cbd3211cc36517400b04ca0fc5d3e412b14daf84ee6e65f67d9a2d8", size = 1180873, upload-time = "2026-03-23T11:56:03.944Z" },
{ url = "https://files.pythonhosted.org/packages/89/57/5554f786eccf78b2750d6ac63be126e1b67badec2cb409dd611cf6f8c52b/srsly-2.5.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:07d682679e639eb46ff7e6da4a92714f4d5ffe351d088ee66f221e9b1f8865bb", size = 1120437, upload-time = "2026-03-23T11:56:05.283Z" },
{ url = "https://files.pythonhosted.org/packages/eb/95/9b4f73b1be3692f86d72ccc131c8e50f26f824d5c8830a59390bcc5b60ef/srsly-2.5.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8e0542d85d6b55cf2934050d6ffcb1cd76c768dcf9572e7467002cf087bb366d", size = 1137376, upload-time = "2026-03-23T11:56:06.613Z" },
{ url = "https://files.pythonhosted.org/packages/5a/de/89ca640ca1953c4612279ce515d0af35658df3c06cdb324329bc91b4a7e1/srsly-2.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:598f1e494c18cacb978299d77125415a586417081959f8ec3f068b32d97f8933", size = 652459, upload-time = "2026-03-23T11:56:07.994Z" },
{ url = "https://files.pythonhosted.org/packages/6d/4f/7ab6d49e36d9cc72ee15746cabd116eb6f338be8a06c1882968ee9d6c7d7/srsly-2.5.3-cp312-cp312-win_arm64.whl", hash = "sha256:4b1b721cd3ad1a9b2343519aadc786a4d09d5c0666962d49852eb12d6ec3fe26", size = 638411, upload-time = "2026-03-23T11:56:09.31Z" },
{ url = "https://files.pythonhosted.org/packages/9d/5c/12901e3794f4158abc6da750725aad6c2afddb1e4227b300fe7c71f66957/srsly-2.5.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:e67b6bbacbfadea5e100266d2797f2d4cec9883ea4dc84a5537673850036a8d8", size = 656750, upload-time = "2026-03-23T11:56:10.708Z" },
{ url = "https://files.pythonhosted.org/packages/04/61/181c26370995f96f56f1b64b801e3ca1e0d703fc36506ae28606d62369fb/srsly-2.5.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:348c231b4477d8fe86603131d0f166d2feac9c372704dfc4398be71cc5b6fb07", size = 656746, upload-time = "2026-03-23T11:56:12.28Z" },
{ url = "https://files.pythonhosted.org/packages/77/c6/35876c78889f8ffe11ed3521644e666c3aef20ea31527b70f47456cf35c2/srsly-2.5.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b0938c2978c91ae1ef9c1f2ba35abb86330e198fb23469e356eba311e02233ee", size = 1155762, upload-time = "2026-03-23T11:56:14.075Z" },
{ url = "https://files.pythonhosted.org/packages/3e/da/40b71ca9906c8eb8f8feb6ac11d33dad458c85a56e1de764b96d402168a0/srsly-2.5.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5f6a837954429ecbe6dcdd27390d2fb4c7d01a3f99c9ffcf9ce66b2a6dd1b738", size = 1161092, upload-time = "2026-03-23T11:56:15.778Z" },
{ url = "https://files.pythonhosted.org/packages/dc/14/c0dd30cc8b93ce8137ff4766f743c882440ce49195fffc5d50eaeef311a6/srsly-2.5.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:3576c125c486ce2958c2047e8858fe3cfc9ea877adfa05203b0986f9badee355", size = 1109984, upload-time = "2026-03-23T11:56:17.056Z" },
{ url = "https://files.pythonhosted.org/packages/08/f3/34354f183d8faafc631585571224b54d1b4b67e796972c36519c074ca355/srsly-2.5.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:5fb59c42922e095d1ea36085c55bc16e2adb06a7bfe57b24d381e0194ae699f2", size = 1128409, upload-time = "2026-03-23T11:56:18.761Z" },
{ url = "https://files.pythonhosted.org/packages/a4/d9/5531f8a19492060b4e76e4ab06aca6f096fb5128fe18cc813d1772daf653/srsly-2.5.3-cp313-cp313-win_amd64.whl", hash = "sha256:111805927f05f5db440aeeacb85ce43da0b19ce7b2a09567a9ef8d30f3cc4d83", size = 650820, upload-time = "2026-03-23T11:56:20.096Z" },
{ url = "https://files.pythonhosted.org/packages/8e/8a/62fb7a971eca29e12f03fb9ddacb058548c14d33e5b5675ff0f85839cc7b/srsly-2.5.3-cp313-cp313-win_arm64.whl", hash = "sha256:0f106b0a700ab56e4a7c431b0f1444009ab6cb332edc7bbf6811c2a43f4722cb", size = 637278, upload-time = "2026-03-23T11:56:21.439Z" },
{ url = "https://files.pythonhosted.org/packages/e1/5b/e4ef43c2a381711230af98d4c94a5323df48d6a7899ee652e05bf889290e/srsly-2.5.3-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:39c13d552a9f9674a12cdcdc66b0c2f02f3430d0cd04c5f9cf598824c2bd3d65", size = 661294, upload-time = "2026-03-23T11:56:23.29Z" },
{ url = "https://files.pythonhosted.org/packages/92/2d/ebce7f3717e52cd0a01f4ec570f388f3b7098526794fcf1ad734e0b8f852/srsly-2.5.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:14c930767cc169611a2dc14e23bc7638cfb616d6f79029700ade033607343540", size = 660952, upload-time = "2026-03-23T11:56:24.908Z" },
{ url = "https://files.pythonhosted.org/packages/22/47/a8f3e9b214be2624c8e8a78d38ca7b1d4e26b92d57018412e4bfc4abe89a/srsly-2.5.3-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2f2d464f0d0237e32fb53f0ec6f05418652c550e772b50e9918e83a1577cba4d", size = 1154554, upload-time = "2026-03-23T11:56:26.608Z" },
{ url = "https://files.pythonhosted.org/packages/d6/71/2a89dc3180a51e633a87a079ca064225f4aaf46c7b2a5fc720e28f261d98/srsly-2.5.3-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d18933248a5bb0ad56a1bae6003a9a7f37daac2ecb0c5bcbfaaf081b317e1c84", size = 1155746, upload-time = "2026-03-23T11:56:28.102Z" },
{ url = "https://files.pythonhosted.org/packages/b8/36/72e5ce3153927ca404b6f5bf5280e6ff3399c11557df472b153945468e0a/srsly-2.5.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:7ea5412ea229e571ac9738cbe14f845cc06c8e4e956afb5f42061ccd087ef31f", size = 1112374, upload-time = "2026-03-23T11:56:29.591Z" },
{ url = "https://files.pythonhosted.org/packages/04/b2/0895de109c28eca0d41a811ab7c076d4e4a505e8466f06bae22f5180a1dd/srsly-2.5.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:8d3988970b4cf7d03bdd5b5169302ff84562dd2e1e0f84aeb34df3e5b5dc19bf", size = 1127732, upload-time = "2026-03-23T11:56:31.458Z" },
{ url = "https://files.pythonhosted.org/packages/c7/79/a37fa7759797fbdfe0a2e029ab13e78b1e81e191220d2bb8ff57d869aefb/srsly-2.5.3-cp314-cp314-win_amd64.whl", hash = "sha256:6a02d7dcc16126c8fae1c1c09b2072798a1dc482ab5f9c52b12c7114dac47325", size = 656467, upload-time = "2026-03-23T11:56:33.14Z" },
{ url = "https://files.pythonhosted.org/packages/d7/25/0dae019b3b90ad9037f91de4c390555cdaac9460a93ad62b02b03babdff5/srsly-2.5.3-cp314-cp314-win_arm64.whl", hash = "sha256:1c9129c4abe31903ff7996904a51afdd5428060de6c3d12af49a4da5e8df2821", size = 643040, upload-time = "2026-03-23T11:56:34.448Z" },
{ url = "https://files.pythonhosted.org/packages/3a/44/72dd5285b2e05435d98b0797f101d91d9b345d491ddc1fdb9bd09e27ccb8/srsly-2.5.3-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:29d5d01ba4c2e9c01f936e5e6d5babc4a47b38c9cbd6e1ec23f6d5a49df32605", size = 666200, upload-time = "2026-03-23T11:56:35.753Z" },
{ url = "https://files.pythonhosted.org/packages/d2/ad/002c71b87fc3f648c9bf0ec47de0c3822bf2c95c8896a589dd03e7fd3977/srsly-2.5.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:5c8df4039426d99f0148b5743542842ab96b82daded0b342555e15a639927757", size = 667409, upload-time = "2026-03-23T11:56:37.172Z" },
{ url = "https://files.pythonhosted.org/packages/2a/35/2cea3d5e80aeecfc4ece9e7e1783e7792cc3bad7ab85ab585882e1db4e38/srsly-2.5.3-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:06a43d63bde2e8cccadb953d7fff70b18196ca286b65dd2ad16006d65f3f8166", size = 1265941, upload-time = "2026-03-23T11:56:38.825Z" },
{ url = "https://files.pythonhosted.org/packages/aa/38/8a4d7e86dd0370a2e5af251b646000197bb5b7e0f9aa360c71bbfb253d0d/srsly-2.5.3-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:808cfafc047f0dec507a34c8fa8e4cda5722737fd33577df73452f52f7aca644", size = 1250693, upload-time = "2026-03-23T11:56:40.449Z" },
{ url = "https://files.pythonhosted.org/packages/99/05/340129de5ea7b237271b12f8a6962cfa7eb0c5a3056794626d348c5ae7c7/srsly-2.5.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:71d4cbe2b2a1335c76ed0acae2dc862163787d8b01a705e1949796907ed94ccd", size = 1242408, upload-time = "2026-03-23T11:56:41.8Z" },
{ url = "https://files.pythonhosted.org/packages/01/cb/d7fee7ab27c6aa2e3f865fb7b50ba18c81a4c763bba12bdf53df246441bc/srsly-2.5.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:565f69083d33cb329cfc74317da937fb3270c0f40fabc1b4488702d8074b4a3e", size = 1242749, upload-time = "2026-03-23T11:56:43.246Z" },
{ url = "https://files.pythonhosted.org/packages/d8/d1/9bad3a0f2fa7b72f4e0cf1d267b00513092d20ef538c47f72823ae4f7656/srsly-2.5.3-cp314-cp314t-win_amd64.whl", hash = "sha256:8ac016ffaeac35bc010992b71bf8afdd39d458f201c8138d84cf78778a936e6c", size = 673783, upload-time = "2026-03-23T11:56:44.875Z" },
{ url = "https://files.pythonhosted.org/packages/2a/ae/57d1d7af907e20c077e113e0e4976f87b82c0a415403d99284a262229dd0/srsly-2.5.3-cp314-cp314t-win_arm64.whl", hash = "sha256:d822083fe26ec6728bd8c273ac121fc4ab3864a0fdf0cf0ff3efb188fcd209ed", size = 650229, upload-time = "2026-03-23T11:56:46.148Z" },
]
[[package]]
name = "steer-heal"
version = "0.1.0"
@@ -2233,6 +2293,7 @@ dependencies = [
{ name = "plotly" },
{ name = "polars" },
{ name = "safetensors" },
{ name = "srsly" },
{ name = "steering-lite" },
{ name = "tabulate" },
{ name = "tiny-mfv" },
@@ -2257,6 +2318,7 @@ requires-dist = [
{ name = "plotly" },
{ name = "polars" },
{ name = "safetensors" },
{ name = "srsly", specifier = ">=2.5.3" },
{ name = "steering-lite", editable = "docs/vendor/steering-lite" },
{ name = "tabulate" },
{ name = "tiny-mfv", editable = "docs/vendor/tinymfv" },