EXPLANATIONS

<THINKING> Method 3 works best: TOP_POSITIVE_LOGITS are dominated by tea‑related tokens (茶, tea, 茶叶, 喝茶, 红茶, etc.), indicating the neuron predicts or detects tea concepts. MAX_ACTIVATING_TOKENS also show self‑attention on the token “茶”. Therefore the neuron is about tea. Method used: 3 – positive logits pattern. </THINKING> say tea words

INFERENCE

IFRAME INTEGRATION

NEGATIVE LOGITS
cko-18.125
etto-16.750
ód-16.250
assembly-15.313
.cz-15.250
回来-15.125
isSelected-14.875
ocz-14.875
charge-14.625
istros-14.625
POSITIVE LOGITS
22.000
_tea21.500
茶叶19.875
喝茶19.250
_Tea18.875
コーヒー17.875
_coffee17.750
咖啡17.125
红茶17.125
_teas16.625
ACTIVATION TIMES 0.1479%
Activation histogram is not available.
Logits histogram is not available.
TOPACTIVATIONS
SUBSAMPLING80%
SUBSAMPLING60%
SUBSAMPLING40%
NONACTIVATING