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[pre-commit.ci] pre-commit autoupdate #165

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Merged
SrGonao merged 2 commits into from
Jan 20, 2026
Merged

[pre-commit.ci] pre-commit autoupdate #165

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ccdd2e4
[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Jan 19, 2026
a4067f9
[pre-commit.ci] auto fixes from pre-commit.com hooks
pre-commit-ci[bot] Jan 19, 2026
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,11 +8,11 @@ repos:
- id: end-of-file-fixer
- id: check-added-large-files
- repo: https://github.com/psf/black-pre-commit-mirror
rev: 25.11.0
rev: 26.1.0
hooks:
- id: black
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: 'v0.14.4'
rev: 'v0.14.13'
hooks:
- id: ruff
args: [--fix, --exit-non-zero-on-fix]
6 changes: 2 additions & 4 deletions delphi/latents/latents.py
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Expand Up @@ -246,11 +246,9 @@ def _to_string(toks, activations: Float[Tensor, "ctx_len"]) -> str:
for tok in toks
]
highlighted_text = []
highlighted_text.append(
"""
highlighted_text.append("""
<body style="background-color: black; color: white;">
"""
)
""")
max_value = max([max(activ) for activ in activations])
min_value = min([min(activ) for activ in activations])
# Add color bar
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2 changes: 1 addition & 1 deletion delphi/latents/neighbours.py
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Expand Up @@ -94,7 +94,7 @@ def _compute_similarity_neighbours(
assert isinstance(
self.autoencoder, Sae
), "Autoencoder must be a sparsify.Sae for decoder similarity"
decoder = self.autoencoder.W_dec.data.cuda() # type:ignore
decoder = self.autoencoder.W_dec.data.cuda() # type: ignore
weight_matrix_normalized = decoder / decoder.norm(dim=1, keepdim=True)
else:
raise ValueError(f"Unknown method: {method}. Use 'encoder' or 'decoder'")
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6 changes: 2 additions & 4 deletions delphi/log/result_analysis.py
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Expand Up @@ -354,10 +354,8 @@ def log_results(
)
)
]
print(
f"""Average fraction of failed examples: \
{sum(fractions_failed) / len(fractions_failed)}"""
)
print(f"""Average fraction of failed examples: \
{sum(fractions_failed) / len(fractions_failed)}""")

print("\nConfusion Matrix:")
print(
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6 changes: 2 additions & 4 deletions examples/latent_contexts_visualization.py
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Expand Up @@ -130,11 +130,9 @@ def tokens_and_activations_to_html(
print(len(toks))

highlighted_text = []
highlighted_text.append(
"""
highlighted_text.append("""
<body style="background-color: black; color: white;">
"""
)
""")
max_value = max([max(activ) for activ in activations])
min_value = min([min(activ) for activ in activations])

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