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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
359
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0-gemmascope-att-16k
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Explanations
attends to opening quotation marks from closing quotation marks in various contexts
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/359?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/359?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.05
1:
0.07
2:
0.04
3:
0.02
4:
0.10
5:
0.57
6:
0.05
7:
0.06
Negative Logits
$'
-0.78
'})
-0.76
'},
-0.75
!';
-0.74
'}
-0.73
'>
-0.73
)'
-0.72
'
-0.72
',\
-0.72
'},
-0.71
POSITIVE LOGITS
”
0.69
.
0.67
“
0.62
0.55
,
0.53
“
0.53
…
0.53
0.50
(
0.50
–
0.49
Act
ivations
Density 0.313%
Test
Steer
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No Known Activations