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CIRCUITGPT-PYTHON · 6-MLP · 5507 ｜ Neuronpedia
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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
6-MLP
5507
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MODEL
6-mlp
Source/SAE
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Circuit Sparsity
No connected neurons data available
Explanations
import 'xml.etree.ElementTree' as ET
python-code · gemini-2.5-flash-lite
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New Auto-Interp
AutoInterp Type
claude-haiku-5-5
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Configuration
Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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Negative Logits
ith
-0.04
_grid
-0.03
with
-0.03
The
-0.03
iven
-0.03
.heapp
-0.03
the
-0.03
The
-0.03
ri
-0.02
structions
-0.02
POSITIVE LOGITS
loat
0.04
ithm
0.03
78
0.03
34
0.03
int
0.03
45
0.03
enum
0.03
pair
0.03
56
0.02
123
0.02
Act
ivations
Density 6.406%
Stacked
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