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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
24-GEMMASCOPE-RES-16K
8357
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MODEL
24-gemmascope-res-16k
Source/SAE
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Explanations
terms related to user interaction and customization features
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
followed by em dashes
np_acts-logits-general · gemini-2.0-flash
No Scores
separators after words
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 24-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
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.24.hook_resid_post
Hook Layer
24
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/24-gemmascope-res-16k/8357?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/24-gemmascope-res-16k/8357?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
.\\
-0.77
).\\
-0.71
etc
-0.70
。(
-0.66
。（
-0.66
архивлан
-0.64
.},
-0.64
).(
-0.63
.}
-0.63
$.\\
-0.62
POSITIVE LOGITS
—
1.60
—
1.55
–
1.44
--
1.43
--
1.26
—
1.26
–
1.22
-
1.19
―
1.15
−
1.12
Act
ivations
Density 1.173%
Test
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