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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
472
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MODEL
0-gemmascope-att-16k
Source/SAE
INDEX
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Explanations
attends from tokens to the second token indexed with 1 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/472?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/472?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Head Attr Weights
0:
0.22
1:
0.05
2:
0.04
3:
0.04
4:
0.03
5:
0.06
6:
0.03
7:
0.49
Negative Logits
1
-2.91
2
-2.84
3
-2.39
5
-2.33
4
-2.31
8
-2.25
6
-2.25
7
-2.22
9
-2.19
0
-2.11
POSITIVE LOGITS
BibitemShut
2.03
ratulations
1.99
—
1.96
"):
1.93
'):
1.91
')):
1.88
%");
1.88
%\]
1.88
]--;
1.84
FTFY
1.80
Act
ivations
Density 0.332%
Test
Steer
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No Known Activations