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CIRCUITGPT-PYTHON · 2-MLP · 6481 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
2-MLP
6481
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MODEL
2-mlp
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Circuit Sparsity
No connected neurons data available
Explanations
list indexing or slicing syntax
python-code · gemini-2.5-flash-lite
No Scores
for loop iterable or class attribute assignment (negative activations)
python-code · gemini-2.5-flash-lite
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New Auto-Interp
AutoInterp Type
claude-haiku-5-5
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Intrusion Detection
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Configuration
Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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Negative Logits
py
-0.04
pass
-0.03
<=
-0.03
µ
-0.03
ass
-0.02
°
-0.02
not
-0.02
unc
-0.02
_un
-0.02
unction
-0.02
POSITIVE LOGITS
by
0.06
_by
0.06
ase
0.03
ases
0.03
based
0.03
person
0.03
ines
0.03
ï
0.03
fset
0.03
==
0.02
Act
ivations
Density 100.000%
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