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Add hyperparamter sweep to sweep.py; Fall back to eig when eigh fails #235

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merged 15 commits into from
May 5, 2023
Merged

Add hyperparamter sweep to sweep.py; Fall back to eig when eigh fails #235

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c79f47d
reduced reporter filesize by 4x; still unsure why the pickle file sto…
AlexTMallen Apr 27, 2023
dca33b3
add save_reporter_stats CLA
AlexTMallen Apr 27, 2023
b497f5f
Merge branch 'light-reporter-saving' into hparam-grid
AlexTMallen Apr 29, 2023
9705ffb
sweep hparam_step working
AlexTMallen Apr 29, 2023
bbebfc0
fix out_dir naming, skipping supervised
AlexTMallen Apr 29, 2023
4352986
use regular eig as backup for eigh
AlexTMallen Apr 29, 2023
60f6509
split hparam directories vertically
AlexTMallen Apr 30, 2023
6c11818
Merge branch 'main' into hparam-grid
AlexTMallen May 1, 2023
2817f15
remove duplicate line
AlexTMallen May 1, 2023
b0193fa
fix num_variants arg
AlexTMallen May 1, 2023
ae85dba
also pass num_shots into prompt_loader
AlexTMallen May 1, 2023
241370a
Merge branch 'main' into hparam-grid
AlexTMallen May 2, 2023
1d6ae33
merge main into hparam-grid
AlexTMallen May 3, 2023
c5980a4
Remove superfluous assert
norabelrose May 5, 2023
d9185e3
Merge remote-tracking branch 'origin/main' into hparam-grid
norabelrose May 5, 2023
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Remove superfluous assert
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@norabelrose
norabelrose committed May 5, 2023
commit c5980a40d7450c90bb036d6b255faa9ce87cd9d2
11 changes: 0 additions & 11 deletions elk/training/eigen_reporter.py
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Original file line number Diff line number Diff line change
Expand Up @@ -168,12 +168,6 @@ def consistency(self) -> Tensor:

@torch.no_grad()
def update(self, hiddens: Tensor) -> None:
assert (
self.contrastive_xcov_M2 is not None
and self.intercluster_cov_M2 is not None
and self.intracluster_cov is not None
), "Covariance matrices have been deleted"

(n, _, k, d) = hiddens.shape

# Sanity checks
Expand Down Expand Up @@ -231,11 +225,6 @@ def update(self, hiddens: Tensor) -> None:
def fit_streaming(self, truncated: bool = False) -> float:
"""Fit the probe using the current streaming statistics."""
inv_weight = 1 - self.config.neg_cov_weight
assert (
self.contrastive_xcov_M2 is not None
and self.intercluster_cov_M2 is not None
and self.intracluster_cov is not None
), "Covariance matrices have been deleted"
A = (
self.config.var_weight * self.intercluster_cov
- inv_weight * self.intracluster_cov
Expand Down