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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
452
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0-gemmascope-att-16k
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Explanations
attends to the opening parenthesis from the closing parenthesis in the sequence
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/452?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/452?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.04
1:
0.19
2:
0.16
3:
0.04
4:
0.05
5:
0.34
6:
0.07
7:
0.07
Negative Logits
myſelf
-1.65
itſelf
-1.60
Monfieur
-1.49
―――――
-1.48
ſind
-1.40
)");
-1.40
Majefty
-1.39
)*/
-1.39
Efq
-1.39
iſt
-1.38
POSITIVE LOGITS
.
1.32
1.16
-
0.96
,
0.93
(
0.84
and
0.77
'
0.75
"
0.74
in
0.72
I
0.71
Act
ivations
Density 0.064%
Test
Steer
Stacked
Snippet
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