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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
7196
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MODEL
40-gemmascope-res-16k
Source/SAE
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Explanations
programming constructs related to data conversion and storage
oai_token-act-pair · gpt-4o-mini
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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 @ 40-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
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.40.hook_resid_post
Hook Layer
40
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/40-gemmascope-res-16k/7196?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
↵↵
-0.70
…
-0.70
…,
-0.69
)…
-0.69
…?
-0.68
…"
-0.68
…)
-0.68
"…
-0.66
…!
-0.66
…’
-0.66
POSITIVE LOGITS
{@
1.69
{@
1.55
'{@
0.93
>{@
0.84
.<
0.81
<sup>
0.80
}{@
0.77
({
0.76
.</
0.76
}{@
0.76
Act
ivations
Density 0.421%
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