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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
24-GEMMASCOPE-RES-16K
16062
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MODEL
24-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
terms related to hydration and moisture content in biological and chemical contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
after "hydro" or "iso" relating to water
np_acts-logits-general · gemini-2.0-flash
No Scores
hydry, hydration, hydrants
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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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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Negative Logits
RR
-0.53
Ρ
-0.52
র
-0.51
NR
-0.49
र
-0.49
Ռ
-0.48
ਰ
-0.48
JR
-0.47
ieR
-0.47
RE
-0.46
POSITIVE LOGITS
rate
0.63
ral
0.60
ros
0.60
ring
0.56
rab
0.56
rat
0.55
rom
0.55
raw
0.54
rand
0.54
res
0.53
Act
ivations
Density 0.841%
Test
Steer
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No Known Activations