mixed4c 260

About



mixed4b (previous layer)

Weights conencting this unit to the 50 units it's most strongly connected to (by L2 norm). Units organized by factorizing the weight matrix if weight factorization explains significant variance.

mixed4d (next layer)

Weights conencting this unit to the 50 units it's most strongly connected to (by L2 norm). Units organized by factorizing the weight matrix if weight factorization explains significant variance.

Logits (indirect)

0.006
ladle
0.005
strainer
0.005
custard apple
0.005
teapot
0.004
abacus
0.004
soccer ball
0.004
maraca
0.004
tennis ball
0.004
bell pepper
0.004
orange
0.004
pitcher
0.004
flamingo
0.004
frying pan
0.004
wok
0.003
volleyball
0.003
racket
0.003
prison
0.003
punching bag
0.003
grocery store
0.003
spoonbill
0.003
hammer
0.003
radio
0.003
rain barrel
0.003
white stork
0.003
butternut squash
0.003
wooden spoon
0.003
knot
0.003
mouse
0.003
macaw
0.003
scale
0.003
greenhouse
0.003
stopwatch
0.003
tray
0.003
combination lock
0.003
artichoke
0.003
basketball
0.003
rugby ball
0.003
vine snake
0.003
jack-o'-lantern
0.003
barrel
0.003
dough
0.003
restaurant
0.003
red wine
0.003
cucumber
0.003
goblet
0.003
Petri dish
0.003
jacamar
0.003
baseball
0.003
washbasin
0.003
lampshade
...
-0.00
tiger beetle
-0.00
red wolf
-0.00
Model T
-0.00
overskirt
-0.00
park bench
-0.00
projectile
-0.00
kuvasz
-0.00
alp
-0.00
keeshond
-0.00
cradle
-0.00
lacewing
-0.00
European fire salamander
-0.00
common newt
-0.00
Newfoundland
-0.00
trimaran
-0.00
sturgeon
-0.00
banded gecko
-0.00
garbage truck
-0.00
groenendael
-0.00
missile
-0.00
timber wolf
-0.00
minivan
-0.00
killer whale
-0.00
ground beetle
-0.00
bison
-0.00
American black bear
-0.00
studio couch
-0.00
mink
-0.00
ant
-0.00
gondola
-0.00
coyote
-0.00
car wheel
-0.00
sloth bear
-0.00
disk brake
-0.00
Eskimo dog
-0.00
malamute
-0.00
tow truck
-0.00
wild boar
-0.00
beach wagon
-0.00
half track
-0.00
trailer truck
-0.00
ski
-0.00
warthog
-0.00
flatworm
-0.00
limousine
-0.00
canoe
-0.00
long-horned beetle
-0.00
snowmobile
-0.00
dogsled
-0.00
snowplow