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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
11183
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MODEL
3-gemmascope-res-16k
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percentages or statistical data presented in numerical form
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 3-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
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.3.hook_resid_post
Hook Layer
3
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-2b/3-gemmascope-res-16k/11183?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
;"></
-0.64
lang
-0.63
</i>
-0.61
a
-0.60
el
-0.58
ation
-0.57
$^{\
-0.57
umman
-0.56
ah
-0.56
nen
-0.56
POSITIVE LOGITS
%
2.14
percent
1.53
%
1.51
\%$
1.50
\%
1.46
.%
1.41
percent
1.39
%+
1.38
]%
1.38
)%
1.37
Act
ivations
Density 0.111%
Test
Steer
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