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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
10-GEMMASCOPE-RES-16K
2350
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MODEL
10-gemmascope-res-16k
Source/SAE
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Explanations
references to male titles, particularly "Mr." and "Dr." in the text
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 10-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
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.10.hook_resid_post
Hook Layer
10
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/10-gemmascope-res-16k/2350?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/10-gemmascope-res-16k/2350?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
-0.79
wahati
-0.78
]**
-0.72
basicConfig
-0.72
']")
-0.69
ICD
-0.69
=()
-0.69
Palin
-0.68
Koch
-0.67
anche
-0.67
POSITIVE LOGITS
Mr
1.36
Mr
1.31
mr
1.11
Mister
1.04
Mrs
1.03
Mrs
0.99
MR
0.94
Mister
0.93
mr
0.92
MR
0.91
Act
ivations
Density 0.065%
Test
Steer
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