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CIRCUITGPT-PYTHON · 2-MLP · 6450 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
2-MLP
6450
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MODEL
2-mlp
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Circuit Sparsity
No connected neurons data available
Explanations
return statements
python-code · gemini-2.5-flash-lite
No Scores
colon followed by newline or if (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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Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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Negative Logits
ted
-0.05
ound
-0.05
ard
-0.05
dition
-0.04
.graph
-0.04
id
-0.04
ed
-0.04
uzz
-0.04
index
-0.04
n
-0.04
POSITIVE LOGITS
cep
0.10
gle
0.08
ili
0.07
action
0.07
action
0.07
hicle
0.07
ility
0.07
ket
0.06
ilities
0.06
ron
0.06
Act
ivations
Density 100.000%
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