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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
MLP Out - 16k
6-GEMMASCOPE-MLP-16K
32
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MODEL
6-gemmascope-mlp-16k
Source/SAE
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Explanations
references to legislation and legal acts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 6-gemmascope-mlp-16k
Configuration
google/gemma-scope-2b-pt-mlp/layer_6/width_16k/average_l0_133
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.6.hook_mlp_out
Hook Layer
6
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/6-gemmascope-mlp-16k/32?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/6-gemmascope-mlp-16k/32?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
Act
-1.22
Act
-1.16
itſelf
-1.05
Acts
-1.05
Acts
-0.97
act
-0.96
auffi
-0.94
raiſ
-0.91
myſelf
-0.91
iſt
-0.90
POSITIVE LOGITS
0.53
[
0.53
int
0.52
the
0.49
T
0.49
1
0.48
rena
0.47
=
0.47
real
0.47
(
0.47
Act
ivations
Density 0.455%
Test
Steer
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