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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
6019
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to the token "toxic" from various scientific references or notes linked by bracketed markers
oai_attention-head · gpt-4o-mini
Triggered by @bot
New Auto-Interp
AutoInterp Type
claude-3-7-sonnet-20250219
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
Plots
Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/6019?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/6019?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.03
1:
0.13
2:
0.06
3:
0.32
4:
0.11
5:
0.03
6:
0.21
7:
0.07
Negative Logits
myſelf
-0.47
Efq
-0.47
himſelf
-0.47
^(@)
-0.47
=$?
-0.46
Jefus
-0.46
Houſe
-0.45
—
-0.44
GHIJKLM
-0.44
՚
-0.43
POSITIVE LOGITS
【
0.34
（
0.34
LookAnd
0.33
(
0.33
/
0.32
((
0.32
[
0.31
~
0.31
f
0.30
、
0.30
Act
ivations
Density 0.331%
Test
Steer
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