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MODEL
6-mlp
Source/SAE
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Circuit Sparsity
No connected neurons data available
Explanations
closing parenthesis in function calls
python-code · gemini-2.5-flash-lite
No Scores
Auto-Interp Tools
Generate Auto-Interp
Intrusion Detection
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Configuration
Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
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IFrame
<iframe src="https://www.neuronpedia.org/circuitgpt-python/6-mlp/4264?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/circuitgpt-python/6-mlp/4264?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
ty
-0.07
ob
-0.04
]
-0.04
the
-0.03
(len
-0.02
.txt
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.values
-0.02
[str
-0.02
↵
-0.02
[int
-0.02
Positive Logits
or
0.07
type
0.05
and
0.04
for
0.04
+
0.03
.is
0.03
[
0.03
_op
0.02
.num
0.02
*
0.02
Act
ivations
Density 24.333%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations
MODEL
6-mlp
Source/SAE
Prev
Next
Go
Close
Circuit Sparsity
No connected neurons data available
Explanations
closing parenthesis in function calls
python-code · gemini-2.5-flash-lite
No Scores
Auto-Interp Tools
Generate Auto-Interp
Intrusion Detection
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Configuration
Prompts (Dashboard)
16,384 prompts, 256 tokens each
Dataset (Dashboard)
neuronpedia/python-code-simplified
No Configuration Found
Show All
Embeds
Show Plots
Show Explanation
Show Activations
Show Test Field
Show Steer
Show Link
IFrame
<iframe src="https://www.neuronpedia.org/circuitgpt-python/6-mlp/4264?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/circuitgpt-python/6-mlp/4264?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
ty
-0.07
ob
-0.04
]
-0.04
the
-0.03
(len
-0.02
.txt
-0.02
.values
-0.02
[str
-0.02
↵
-0.02
[int
-0.02
Positive Logits
or
0.07
type
0.05
and
0.04
for
0.04
+
0.03
.is
0.03
[
0.03
_op
0.02
.num
0.02
*
0.02
Act
ivations
Density 24.333%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations
