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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
35-GEMMASCOPE-RES-16K
12300
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MODEL
35-gemmascope-res-16k
Source/SAE
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Explanations
names and terms associated with characters and authors in literary contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 35-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
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.35.hook_resid_post
Hook Layer
35
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-9b/35-gemmascope-res-16k/12300?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
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https://www.neuronpedia.org/gemma-2-9b/35-gemmascope-res-16k/12300?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
sch
-0.59
sa
-0.54
ste
-0.54
ses
-0.54
sme
-0.53
sb
-0.52
sun
-0.50
s
-0.50
sy
-0.48
ات
-0.48
POSITIVE LOGITS
er
0.81
ized
0.77
ization
0.75
🏻
0.70
🏽
0.69
ised
0.68
🏼
0.66
theless
0.65
🏾
0.65
izer
0.61
Act
ivations
Density 1.423%
Stacked
Snippet
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