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MODEL
6-mlp
Source/SAE
Prev
Next
Go
Close
Circuit Sparsity
No connected neurons data available
Explanations
function call len argument (negative activations)
python-code · gemini-2.5-flash-lite
No Scores
from random import randint
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
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Show Activations
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Show Link
IFrame
<iframe src="https://www.neuronpedia.org/circuitgpt-python/6-mlp/5745?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/5745?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
as
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and
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^
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between
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?
-0.03
mmon
-0.02
two
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Positive Logits
ran
0.08
ran
0.07
import
0.06
.ran
0.06
(range
0.03
*
0.03
*
0.02
range
0.02
np
0.02
resh
0.02
Act
ivations
Density 79.672%
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
function call len argument (negative activations)
python-code · gemini-2.5-flash-lite
No Scores
from random import randint
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/5745?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/5745?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
as
-0.05
ine
-0.03
\
-0.03
and
-0.03
ain
-0.03
^
-0.03
between
-0.03
?
-0.03
mmon
-0.02
two
-0.02
Positive Logits
ran
0.08
ran
0.07
import
0.06
.ran
0.06
(range
0.03
*
0.03
*
0.02
range
0.02
np
0.02
resh
0.02
Act
ivations
Density 79.672%
Stacked
Snippet
Full
Show Breaks
Hide Breaks
No Known Activations
