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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B-IT
Residual Stream - 131k
31-GEMMASCOPE-RES-131K
65172
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MODEL
31-gemmascope-res-131k
Source/SAE
INDEX
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Explanations
references to different types of bars and their properties in a scientific context
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Type variations
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B-IT @ 31-gemmascope-res-131k
Configuration
google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
131,072
Data Type
float32
Hook Name
blocks.31.hook_resid_post
Hook Layer
31
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
-0.56
-0.52
-0.49
.
-0.48
-0.47
-0.45
-0.44
-0.41
´
-0.41
</h3>
-0.39
POSITIVE LOGITS
$\
1.06
$)$
0.89
$=
0.88
$-\
0.87
$+\
0.86
CreateTagHelper
0.85
$=\
0.84
$+
0.83
$\%
0.82
$\&$
0.81
Act
ivations
Density 0.204%
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