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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
168
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MODEL
0-gemmascope-att-16k
Source/SAE
INDEX
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Explanations
attends to the action "go" from tokens that prompt a return or reflection, specifically "back."
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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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/168?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/168?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.04
1:
0.01
2:
0.02
3:
0.02
4:
0.07
5:
0.76
6:
0.02
7:
0.02
Negative Logits
myſelf
-1.24
Efq
-1.17
itſelf
-1.12
―――――
-1.05
^(@)
-1.05
་་
-1.04
Anſ
-1.03
NUMX
-1.03
ſelves
-1.03
ſelf
-1.02
POSITIVE LOGITS
.
0.78
,
0.72
and
0.67
0.66
↵↵
0.61
:
0.59
;
0.59
-
0.59
<eos>
0.58
or
0.57
Act
ivations
Density 0.059%
Test
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