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CIRCUITGPT-PYTHON · 6-MLP · 1111 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
6-MLP
1111
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6-mlp
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Circuit Sparsity
No connected neurons data available
Explanations
string literal concatenation
python-code · gemini-2.5-flash-lite
No Scores
closing parenthesis of print statement (negative activations)
python-code · gemini-2.5-flash-lite
No Scores
Auto-Interp Tools
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AutoInterp Type
claude-4-5-haiku
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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
//
-0.09
{↵
-0.08
[int
-0.06
[j
-0.05
()<|
-0.05
[(
-0.04
.heapp
-0.04
rint
-0.04
[n
-0.04
():↵
-0.04
Positive Logits
lab
0.06
gth
0.06
given
0.05
zero
0.05
spe
0.04
.↵↵
0.04
.↵
0.04
(i
0.03
[
0.03
=
0.03
Act
ivations
Density 87.491%
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