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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
1181
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to underscore tokens from tokens containing brackets
oai_attention-head · gpt-4o-mini
Triggered by @bot
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Configuration
google/gemma-scope-9b-pt-att/layer_0/width_16k/average_l0_61
How To Load
Prompts (Dashboard)
16,384 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.0.attn.hook_z
Hook Layer
0
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
Show All
Embeds
Plots
Explanation
Show Test Field
Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-att-16k/1181?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-att-16k/1181?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.05
1:
0.03
2:
0.01
3:
0.04
4:
0.03
5:
0.03
6:
0.01
7:
0.02
8:
0.04
9:
0.06
10:
0.03
11:
0.49
12:
0.02
13:
0.02
14:
0.01
15:
0.03
Negative Logits
ſſung
-0.50
ðsíða
-0.49
-0.49
-0.48
ſelben
-0.48
-0.48
⦊
-0.48
𓆱
-0.47
𖡻
-0.47
-0.46
POSITIVE LOGITS
</b>
0.28
'));
0.27
</sup>
0.26
"));
0.25
}}}{
0.25
'));
0.24
"});
0.24
});
0.23
")}
0.23
"));
0.23
Act
ivations
Density 0.038%
Stacked
Snippet
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