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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
174
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to tokens marked as "to" or "is" from contextually relevant tokens marked with double square 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
Comparing With
GEMMA-2-2B @ 0-gemmascope-att-16k
Configuration
google/gemma-scope-2b-pt-att/layer_0/width_16k/average_l0_104
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.0.attn.hook_z
Hook Layer
0
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Embeds
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/174?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/174?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.02
1:
0.07
2:
0.26
3:
0.10
4:
0.05
5:
0.14
6:
0.19
7:
0.12
Negative Logits
v
-0.90
in
-0.86
on
-0.86
k
-0.85
f
-0.85
i
-0.84
p
-0.84
x
-0.84
g
-0.84
to
-0.83
POSITIVE LOGITS
"]);
1.54
"])
1.48
"]
1.46
'));
1.45
'){
1.45
']);
1.43
")){
1.43
"],
1.41
')):
1.41
"];
1.40
Act
ivations
Density 0.188%
Test
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No Known Activations