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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
1228
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to the token "additional" from tokens that include "additional" later in the sequence, as well as certain tokens related to "rotate" from related tokens
oai_attention-head · gpt-4o-mini
Triggered by @bot
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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
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Explanation
Show Test Field
Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-att-16k/1228?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/1228?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.02
1:
0.01
2:
0.01
3:
0.06
4:
0.58
5:
0.03
6:
0.02
7:
0.02
8:
0.01
9:
0.01
10:
0.01
11:
0.01
12:
0.05
13:
0.04
14:
0.01
15:
0.01
Negative Logits
.
-0.73
*
-0.56
-0.55
-
-0.55
\
-0.54
the
-0.52
T
-0.52
/
-0.51
L
-0.50
A
-0.49
POSITIVE LOGITS
"){
1.01
")){
1.00
'){
0.98
".
0.98
'],
0.96
"],
0.96
"])
0.96
")));
0.95
"]);
0.95
'))
0.94
Act
ivations
Density 0.729%
Stacked
Snippet
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No Known Activations