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OpenAI · Weight-Sparse Transformers
CircuitGPT-Python
MLP
6-MLP
6039
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MODEL
6-mlp
Source/SAE
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Circuit Sparsity
No connected neurons data available
Explanations
list literal or assignment (negative activations)
python-code · gemini-2.5-flash-lite
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list comprehension with `for` and `in`
python-code · gemini-2.5-flash-lite
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claude-4-5-haiku
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Intrusion Detection
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Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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Negative Logits
cols
-0.09
column
-0.06
lon
-0.06
09
-0.04
col
-0.03
-
-0.03
08
-0.03
07
-0.03
continue
-0.03
P
-0.03
POSITIVE LOGITS
coordinates
0.03
Y
0.02
dict
0.02
uple
0.02
dict
0.02
↵
0.02
>=
0.01
(
0.01
<=
0.01
==
0.01
Act
ivations
Density 93.080%
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