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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
39-GEMMASCOPE-RES-16K
4755
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MODEL
39-gemmascope-res-16k
Source/SAE
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Explanations
elements related to technical instructions or features in a manual context
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 @ 39-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
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.39.hook_resid_post
Hook Layer
39
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-9b/39-gemmascope-res-16k/4755?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
’).
-1.20
’)
-1.17
‘
-1.11
’,
-1.08
’.
-1.08
’,
-1.07
?’
-1.06
’?
-1.03
’
-1.02
.’
-1.00
POSITIVE LOGITS
'
1.66
'
0.77
.'
0.65
,'
0.59
'.
0.59
',
0.58
(
0.56
''
0.55
'?
0.53
?'
0.52
Act
ivations
Density 1.631%
Stacked
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