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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
5741
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MODEL
40-gemmascope-res-16k
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quantitative data and statistical analysis related to study results
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 40-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.40.hook_resid_post
Hook Layer
40
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
-0.81
seperate
-0.65
gibts
-0.59
recieve
-0.58
."
-0.58
isn
-0.57
doesn
-0.56
alot
-0.55
seper
-0.55
!"
-0.54
POSITIVE LOGITS
(−
0.94
∼
0.93
<
0.86
=
0.81
×
0.77
+
0.73
∼
0.73
/−
0.73
Table
0.71
=
0.70
Act
ivations
Density 7.559%
Stacked
Snippet
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