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CIRCUITGPT-PYTHON · 6-MLP · 5259 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
6-MLP
5259
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MODEL
6-mlp
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Circuit Sparsity
No connected neurons data available
Explanations
string formatting specifier (negative activations)
python-code · gemini-2.5-flash-lite
No Scores
variable name 'e' follows '★'
python-code · gemini-2.5-flash-lite
No Scores
Auto-Interp Tools
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Intrusion Detection
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
No Configuration Found
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Link
https://www.neuronpedia.org/circuitgpt-python/6-mlp/5259?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
self
-0.03
self
-0.03
?
-0.02
it
-0.01
(self
-0.01
"
-0.01
print
-0.01
[
-0.01
act
-0.01
best
-0.00
Positive Logits
sed
0.02
ized
0.02
ble
0.02
ated
0.02
cted
0.02
ted
0.02
args
0.02
ied
0.02
sible
0.02
vailable
0.02
Act
ivations
Density 50.762%
Stacked
Snippet
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