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Gemma-2-27B
22-GEMMASCOPE-RES-131K
15489
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MODEL
22-gemmascope-res-131k
Source/SAE
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Explanations
so much, so many
np_acts-logits-general · gemini-2.5-flash-lite
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The neuron is tuned to pick up on degree-adverb modifiers or “intensifiers” (words like “so,” “quite,” and “just”).
oai_token-act-pair · o4-mini
Triggered by @jyhe0408
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
google/gemma-scope-27b-pt-res/layer_22/width_131k
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
No Configuration Found
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Negative Logits
in
-1.56
camisetas
-1.53
魮
-1.49
casó
-1.49
ardı
-1.47
𓋼
-1.45
ſſel
-1.44
polícia
-1.43
珢
-1.41
luy
-1.41
POSITIVE LOGITS
T
1.58
r
1.57
'
1.53
.
1.52
er
1.52
p
1.49
v
1.46
ar
1.44
al
1.43
h
1.43
Act
ivations
Density 0.034%
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No Known Activations