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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
MLP Out - 16k - L0 32+
26-GEMMASCOPE-MLP-16K-L0_32PLUS
gemma-2-9b · 26-gemmascope-mlp-16k-l0_32plus
Source from
gemma-scope
·
MLP Out - 16k - L0 32+
· Layer 26
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26-gemmascope-mlp-16k-l0_32plus
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26-gemmascope-mlp-16k-l0_32plus
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INDEX
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Configuration
google/gemma-scope-9b-pt-mlp/layer_26/width_16k/average_l0_57
How To Load
Features
16,384
Data Type
float32
Hook Name
blocks.26.hook_mlp_out
Hook Layer
26
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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MODEL
MLP Out - 16k - L0 32+
Layer 26
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MODEL
MLP Out - 16k - L0 32+
LAYER
Features in
GEMMA-2-9B
@
26-gemmascope-mlp-16k-l0_32plus
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