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CIRCUITGPT-PYTHON · 2-MLP · 3117 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
2-MLP
3117
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MODEL
2-mlp
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Circuit Sparsity
No connected neurons data available
Explanations
variable assignment or function call (negative activations)
python-code · gemini-2.5-flash-lite
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claude-haiku-5-5
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Intrusion Detection
Top Features by Cosine Similarity
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Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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Negative Logits
mple
-0.09
{}↵
-0.09
ram
-0.09
[]↵
-0.09
arg
-0.07
ld
-0.07
index
-0.05
i
-0.05
mp
-0.04
ser
-0.04
POSITIVE LOGITS
ats
0.13
at
0.11
"↵↵
0.10
ac
0.09
}")<|
0.09
att
0.08
ata
0.08
ater
0.08
ati
0.08
()<|
0.07
Act
ivations
Density 3.546%
Stacked
Snippet
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