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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
22-GEMMASCOPE-RES-16K
1234
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MODEL
22-gemmascope-res-16k
Source/SAE
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Explanations
special characters and symbols in programming or markup language contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Code, math, and filepath strings ending with '&' or ')&'
np_acts-logits-general · gemini-2.0-flash
No Scores
followed by `&`
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 22-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.22.hook_resid_post
Hook Layer
22
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gemma-2-2b/22-gemmascope-res-16k/1234?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/gemma-2-2b/22-gemmascope-res-16k/1234?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
>--}}
-0.51
ródła
-0.48
。。。
-0.47
τός
-0.46
-
-0.45
)
-0.44
。。。。
-0.44
^(@)
-0.43
Wikipédia
-0.42
ㅡ
-0.42
POSITIVE LOGITS
&
3.08
&
2.53
\&
1.96
.&
1.87
(&
1.85
,&
1.84
)&
1.81
(&
1.79
}&
1.77
'&
1.73
Act
ivations
Density 0.618%
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