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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Attention Out - 16k
0-GEMMASCOPE-ATT-16K
1318
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MODEL
0-gemmascope-att-16k
Source/SAE
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Explanations
attends to "solve" tokens from combinatorial expressions or mathematical statements
oai_attention-head · gpt-4o-mini
Triggered by @bot
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Configuration
google/gemma-scope-9b-pt-att/layer_0/width_16k/average_l0_61
How To Load
Prompts (Dashboard)
16,384 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-2-9b/0-gemmascope-att-16k/1318?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-att-16k/1318?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Head Attr Weights
0:
0.38
1:
0.03
2:
0.01
3:
0.02
4:
0.03
5:
0.04
6:
0.03
7:
0.03
8:
0.04
9:
0.05
10:
0.07
11:
0.06
12:
0.06
13:
0.04
14:
0.01
15:
0.02
Negative Logits
-0.50
.
-0.47
the
-0.47
,
-0.44
-
-0.42
in
-0.41
(
-0.41
to
-0.39
a
-0.39
de
-0.34
POSITIVE LOGITS
.)}
0.66
})*/
0.65
)*/
0.62
}))
0.60
]")]
0.60
});*/
0.60
ब्रेकडाउन
0.59
};*/
0.59
*/
0.59
")}
0.57
Act
ivations
Density 0.196%
Stacked
Snippet
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