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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
448
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to URLs and their associated references within a sequence of 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
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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IFrame
<iframe src="https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/448?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/448?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.03
1:
0.10
2:
0.04
3:
0.02
4:
0.03
5:
0.58
6:
0.05
7:
0.11
Negative Logits
?]
-0.57
…]
-0.55
"];
-0.54
")]
-0.53
":
-0.53
"";
-0.52
ExecuteAsync
-0.52
)];
-0.51
:");
-0.51
**/
-0.51
POSITIVE LOGITS
↵
0.65
.
0.42
1
0.34
muuta
0.31
ally
0.28
0
0.27
3
0.27
0.27
6
0.27
držav
0.26
Act
ivations
Density 0.396%
Test
Steer
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