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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
22-GEMMASCOPE-RES-16K
1543
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MODEL
22-gemmascope-res-16k
Source/SAE
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Explanations
markers for document structure or formatting
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Follows common English words
np_acts-logits-general · gemini-2.0-flash
No Scores
describing options and qualities
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 src="https://www.neuronpedia.org/gemma-2-2b/22-gemmascope-res-16k/1543?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/1543?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
(„
-0.82
(“
-0.76
(‘
-0.73
(!)
-0.69
“...
-0.69
“…
-0.66
“[
-0.65
("
-0.65
"...
-0.64
„
-0.61
POSITIVE LOGITS
uh
1.01
yeah
0.87
um
0.86
.
0.86
And
0.77
Yeah
0.76
you
0.75
Uh
0.70
And
0.69
Which
0.68
Act
ivations
Density 0.138%
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