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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
23-GEMMASCOPE-RES-16K
8755
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MODEL
23-gemmascope-res-16k
Source/SAE
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Explanations
names of sports teams and related statistics
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-2-2B @ 23-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.23.hook_resid_post
Hook Layer
23
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-2b/23-gemmascope-res-16k/8755?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
.",
-1.45
.")
-1.42
."));
-1.39
!")
-1.34
.")]
-1.32
.";
-1.29
'},
-1.29
."),
-1.25
$")
-1.24
"},
-1.23
POSITIVE LOGITS
/
0.78
/
0.77
&
0.65
(
0.48
+
0.47
*
0.46
+
0.46
–
0.46
</td>
0.46
//
0.46
Act
ivations
Density 0.612%
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