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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
49
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to certain property definitions from sequences that include the same type of property definitions or are related in context
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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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/0-gemmascope-att-16k/49?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/49?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.03
1:
0.19
2:
0.07
3:
0.12
4:
0.13
5:
0.03
6:
0.24
7:
0.15
Negative Logits
^(@)
-0.89
IBRARY
-0.83
itſelf
-0.82
>\<^
-0.82
]--;
-0.81
NUMX
-0.81
―――――
-0.81
myſelf
-0.81
)";
-0.81
iſt
-0.80
POSITIVE LOGITS
↵↵
0.76
,
0.68
0.60
<eos>
0.57
.
0.56
(
0.56
(
0.55
1
0.55
'
0.50
-
0.50
Act
ivations
Density 0.051%
Test
Steer
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