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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
104
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to the dash from tokens that are more distant in the sequence
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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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/104?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/104?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.01
1:
0.03
2:
0.05
3:
0.69
4:
0.03
5:
0.02
6:
0.08
7:
0.05
Negative Logits
↵↵
-0.48
-0.46
(
-0.40
↵
-0.40
.
-0.39
,
-0.39
?
-0.38
-0.37
-0.36
-0.36
POSITIVE LOGITS
myſelf
0.57
ſtate
0.53
Efq
0.53
Jefus
0.51
reaſon
0.51
Reſ
0.50
itſelf
0.50
pleaſure
0.50
iſt
0.49
NUMX
0.49
Act
ivations
Density 3.508%
Test
Steer
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