Datasets:
prompt
stringlengths 63
147
| target
stringlengths 1
13
| pattern
stringclasses 2
values |
|---|---|---|
flow^ started^ flow
lungs^ feel^ lungs
half^ opposite^ half
wall^ude^ wall
prince^ wine^
|
prince
|
ABA
|
acid^ havoc^ acid
slow^atter^ slow
dark^ upon^ dark
candy^ life^ candy
breathe^ essence^
|
breathe
|
ABA
|
think^ blood^ think
penalty^ name^ penalty
broken^ make^ broken
bond^ crowd^ bond
yang^ke^
|
yang
|
ABA
|
slow^ mouse^ slow
citizen^ filled^ citizen
breed^ meet^ breed
sake^ cover^ sake
without^ truly^
|
without
|
ABA
|
tell^ legs^ tell
land^ reaction^land
stop^ roads^ stop
catch^ jeans^ catch
erry^atches^
|
erry
|
ABA
|
ette^ meal^ette
chin^ creed^ chin
nails^ stride^ nails
dear^ because^ dear
burn^ lines^
|
burn
|
ABA
|
please^ stadium^ please
ack^ button^ack
crisis^ further^ crisis
wings^ name^ wings
pace^ teeth^
|
pace
|
ABA
|
ids^ takes^ids
bone^ama^ bone
g^ ling^g
sure^ alive^ sure
ocus^ image^
|
ocus
|
ABA
|
dust^ thing^ dust
affirmation^ vegas^ affirmation
sure^ tears^ sure
light^ gear^ light
apparatus^ syrup^
|
apparatus
|
ABA
|
ghost^ penny^ ghost
ball^ dawn^ ball
village^ cell^ village
treatment^ mentally^ treatment
century^ clothes^
|
century
|
ABA
|
probably^ missed^ probably
sleep^ known^ sleep
soup^ud^ soup
chain^ level^ chain
cabbage^ scrimmage^
|
cabbage
|
ABA
|
this^ envy^ this
child^ jacket^ child
belong^ richer^ belong
floor^aper^ floor
month^ chambers^
|
month
|
ABA
|
fury^ names^ fury
roads^ letters^ roads
which^me^ which
impaired^ sings^ impaired
last^ against^
|
last
|
ABA
|
real^ cage^ real
throat^ matter^ throat
every^ant^ every
sake^ bars^ sake
random^ doing^
|
random
|
ABA
|
essence^ crime^ essence
four^ your^ four
deep^ corner^ deep
stamp^ halt^ stamp
orea^ jacket^
|
orea
|
ABA
|
forward^ enough^ forward
scheduled^ chance^ scheduled
opper^ open^opper
bridge^ richer^ bridge
wage^ rage^
|
wage
|
ABA
|
penalty^ versa^ penalty
feet^ axis^ feet
tape^ vista^ tape
filled^ hear^ filled
bar^ sheep^
|
bar
|
ABA
|
notice^ found^ notice
woods^ spine^ woods
station^ sais^ station
comfort^ church^ comfort
west^ separate^
|
west
|
ABA
|
mothers^ help^ mothers
contact^key^ contact
jacket^ layer^ jacket
rouch^ moment^rouch
heroes^ behold^
|
heroes
|
ABA
|
half^ sponge^ half
century^ evil^ century
robbery^ tied^ robbery
studio^ negative^ studio
bird^ blind^
|
bird
|
ABA
|
alone^ risk^ alone
treat^ personal^ treat
sorry^ berry^ sorry
mafia^ test^ mafia
ease^ talk^
|
ease
|
ABA
|
thought^ gets^ thought
dirty^ sleeps^ dirty
jacket^ away^ jacket
beach^es^ beach
festival^ dragon^
|
festival
|
ABA
|
narrow^ gates^ narrow
burned^ horrors^ burned
bound^ ship^ bound
quoi^ deck^ quoi
hype^ breed^
|
hype
|
ABA
|
screen^ test^ screen
degree^ weave^ degree
ette^attery^ette
fishes^ pepper^ fishes
ser^ vain^
|
ser
|
ABA
|
throw^kin^ throw
ami^ hear^ami
tongue^ back^ tongue
riches^ today^ riches
ertos^ pans^
|
ertos
|
ABA
|
road^ numbers^ road
negative^ seek^ negative
sleep^ umbrella^ sleep
collar^ motions^ collar
soundtrack^ love^
|
soundtrack
|
ABA
|
spice^g^ spice
game^ proven^ game
ocus^ then^ocus
rear^ daily^ rear
lesson^ lifetime^
|
lesson
|
ABA
|
advised^avior^ advised
sides^ games^ sides
atom^itty^ atom
acks^ effect^acks
gentlemen^ close^
|
gentlemen
|
ABA
|
inherit^ids^ inherit
adas^ sealed^adas
wants^ bags^ wants
pose^ list^ pose
pony^ pain^
|
pony
|
ABA
|
moment^ into^ moment
breathe^ami^ breathe
ships^ sender^ ships
gone^ going^ gone
testament^ heroes^
|
testament
|
ABA
|
brothers^ony^ brothers
march^ paid^ march
counts^er^ counts
hats^ house^ hats
ump^ between^
|
ump
|
ABA
|
into^ bring^ into
came^ deck^ came
lights^ face^ lights
gang^ morning^ gang
a^utherland^
|
a
|
ABA
|
towns^ never^ towns
ts^ swim^ts
part^ mayo^ part
ada^ stones^ada
land^ix^
|
land
|
ABA
|
screen^ stadium^ screen
behold^ moon^ behold
achers^ syndrome^achers
pass^ come^ pass
spin^ missiles^
|
spin
|
ABA
|
chair^ opinion^ chair
close^ fancy^ close
clear^ condition^ clear
bath^ palace^ bath
behold^ havoc^
|
behold
|
ABA
|
demand^ free^ demand
catch^ paved^ catch
position^ banner^ position
walls^ generation^ walls
atches^ trees^
|
atches
|
ABA
|
drum^ impression^ drum
pocket^ tracks^ pocket
legs^ ties^ legs
fluid^ada^ fluid
down^ nowhere^
|
down
|
ABA
|
easy^ party^ easy
officer^ enemy^ officer
block^ passion^ block
small^ battery^ small
half^ test^
|
half
|
ABA
|
action^ corner^ action
thirst^ former^ thirst
juice^ leather^ juice
yard^ lungs^ yard
distance^ thumb^
|
distance
|
ABA
|
like^ settle^ like
help^ dawn^ help
resort^ cake^ resort
effects^ bricks^ effects
dirty^ rings^
|
dirty
|
ABA
|
creator^ voice^ creator
carry^ moment^ carry
trees^ pocket^ trees
true^ mode^ true
ghost^ more^
|
ghost
|
ABA
|
fact^ sender^ fact
ud^ highway^ud
destroyed^ metal^ destroyed
pill^ hurts^ pill
land^ east^
|
land
|
ABA
|
worm^ layer^ worm
common^ happened^ common
illusion^ thumbs^ illusion
commit^ buds^ commit
iel^ party^
|
iel
|
ABA
|
print^ absolutely^ print
passage^ sudden^ passage
keep^ bath^ keep
on^ toes^on
apart^ roulette^
|
apart
|
ABA
|
in^ sensation^in
mater^ style^ mater
shadow^ sore^ shadow
tune^ breeze^ tune
pulp^ impaired^
|
pulp
|
ABA
|
first^ grant^ first
queens^ dragons^ queens
one^ come^one
doing^ secret^ doing
shape^ chicken^
|
shape
|
ABA
|
stirred^ flag^ stirred
revenge^ prime^ revenge
cold^ cell^ cold
eyes^ granted^ eyes
catch^ doing^
|
catch
|
ABA
|
ke^ corner^ke
daylight^ seats^ daylight
fall^ arms^ fall
cents^ clothes^ cents
core^ thousands^
|
core
|
ABA
|
dealt^ pole^ dealt
screen^ syrup^ screen
minute^ queens^ minute
million^ tune^ million
bites^ grain^
|
bites
|
ABA
|
ships^ weave^ ships
like^ser^ like
count^ hats^ count
roulette^ shoe^ roulette
mine^ true^
|
mine
|
ABA
|
smith^ same^ smith
eller^ heaven^eller
forever^ west^ forever
savage^ thirst^ savage
into^ these^
|
into
|
ABA
|
models^one^ models
child^ party^ child
brothers^ places^ brothers
merry^ breathe^ merry
sharp^ mafia^
|
sharp
|
ABA
|
beyond^ keep^ beyond
ello^ ties^ello
wonder^ seas^ wonder
grape^ lose^ grape
systems^ happy^
|
systems
|
ABA
|
gentlemen^ killed^ gentlemen
dancer^ treated^ dancer
round^ cushion^ round
beans^ write^ beans
bounds^ dark^
|
bounds
|
ABA
|
sale^ made^ sale
covenant^ spring^ covenant
settle^ meet^ settle
teeth^ wait^ teeth
trust^ crash^
|
trust
|
ABA
|
cent^ syrup^ cent
wounds^ banner^ wounds
salt^ only^ salt
needs^ dawn^ needs
music^ free^
|
music
|
ABA
|
habit^ personal^ habit
dance^ error^ dance
secret^ deal^ secret
tunnel^ still^ tunnel
aside^ail^
|
aside
|
ABA
|
angle^ goes^ angle
killer^ bang^ killer
perfect^ needle^ perfect
world^ stirred^ world
walls^ collect^
|
walls
|
ABA
|
life^ seen^ life
thumb^ style^ thumb
thousands^ books^ thousands
studio^ pants^ studio
wicked^ raft^
|
wicked
|
ABA
|
place^ needs^ place
press^ doing^ press
pose^ fallen^ pose
spice^ gain^ spice
dare^ going^
|
dare
|
ABA
|
core^ terror^ core
am^ angle^am
seams^ usual^ seams
ease^ background^ ease
finger^ss^
|
finger
|
ABA
|
chest^ still^ chest
drum^ens^ drum
thunder^ dull^ thunder
hear^ wonder^ hear
mature^ nature^
|
mature
|
ABA
|
high^ forth^ high
roll^ soundtrack^ roll
angle^ spirit^ angle
tune^ drum^ tune
finish^ measures^
|
finish
|
ABA
|
cheap^ entirety^ cheap
cher^ tell^ cher
block^ pace^ block
inch^ tunnel^ inch
kite^ack^
|
kite
|
ABA
|
wounds^ shorts^ wounds
house^ without^ house
g^ once^g
moment^atter^ moment
wind^ came^
|
wind
|
ABA
|
fault^ land^ fault
thousand^attery^ thousand
closer^ finger^ closer
necessary^ days^ necessary
years^ contention^
|
years
|
ABA
|
studio^ chin^ studio
opera^ came^ opera
hype^ background^ hype
fever^ case^ fever
cent^ix^
|
cent
|
ABA
|
long^ moon^ long
swim^ liabilities^ swim
tale^ often^ tale
louder^ covenant^ louder
diamonds^ streets^
|
diamonds
|
ABA
|
leader^ creed^ leader
bets^ist^ bets
aper^ band^aper
castle^ bank^ castle
friendly^ dawn^
|
friendly
|
ABA
|
will^ rear^ will
bomb^ back^ bomb
stunt^ quick^ stunt
signs^ bites^ signs
every^les^
|
every
|
ABA
|
ett^ bags^ett
metal^ bites^ metal
myself^ think^ myself
ears^ atom^ ears
silent^aj^
|
silent
|
ABA
|
trip^ dull^ trip
shop^ feather^ shop
people^ atom^ people
ver^ chocolates^ver
bullet^ flag^
|
bullet
|
ABA
|
crop^ shots^ crop
lungs^ cracked^ lungs
spiritual^ feather^ spiritual
grave^ invited^ grave
hood^ trees^
|
hood
|
ABA
|
monster^ built^ monster
grill^ prime^ grill
state^ shining^ state
magnets^a^ magnets
shoulder^ eyes^
|
shoulder
|
ABA
|
joke^ band^ joke
coil^ana^ coil
brothers^ spring^ brothers
call^ odds^ call
path^ sale^
|
path
|
ABA
|
ate^ dirty^ate
steam^ wage^ steam
chili^ rough^ chili
living^e^ living
anger^ generation^
|
anger
|
ABA
|
anthem^ attack^ anthem
building^out^ building
impression^ bricks^ impression
lady^ away^ lady
bottom^ette^
|
bottom
|
ABA
|
papers^ refuse^ papers
team^ted^ team
ica^ list^ica
bliss^ greens^ bliss
funny^ treatment^
|
funny
|
ABA
|
mustard^ sponge^ mustard
heaven^ water^ heaven
happen^ jeans^ happen
best^ deal^ best
like^ tongue^
|
like
|
ABA
|
storm^ girl^ storm
moment^ goodbye^ moment
wing^ south^ wing
guilty^ mean^ guilty
syrup^ room^
|
syrup
|
ABA
|
deadly^ matters^ deadly
mothers^ world^ mothers
force^ alive^ force
shame^ blind^ shame
prime^ guarantee^
|
prime
|
ABA
|
knot^ least^ knot
dots^ madness^ dots
iel^ garage^iel
exhibition^ sale^ exhibition
wide^ park^
|
wide
|
ABA
|
fund^ hers^ fund
about^ shots^ about
mexico^ wear^ mexico
lee^ toll^lee
head^ century^
|
head
|
ABA
|
dollar^am^ dollar
fine^ lane^ fine
background^uds^ background
lines^bows^ lines
music^ further^
|
music
|
ABA
|
madness^ battery^ madness
gain^ hill^ gain
field^olina^ field
axis^ge^ axis
return^ corner^
|
return
|
ABA
|
soda^ look^ soda
sudden^ lens^ sudden
fence^ whip^ fence
else^ used^ else
flag^ honey^
|
flag
|
ABA
|
usual^ke^ usual
ata^ tails^ata
iron^se^ iron
bullet^ splash^ bullet
palace^ city^
|
palace
|
ABA
|
villain^ witch^ villain
ch^ living^ch
towns^key^ towns
school^ circle^ school
nails^ sais^
|
nails
|
ABA
|
states^ raft^ states
experience^ office^ experience
near^ match^ near
answer^ hours^ answer
beyond^ camp^
|
beyond
|
ABA
|
voice^ hers^ voice
breeze^ fishes^ breeze
pains^ cons^ pains
fall^ become^ fall
motions^ grave^
|
motions
|
ABA
|
jail^ soul^ jail
built^ personal^ built
open^ again^ open
round^ second^ round
conn^ pencil^
|
conn
|
ABA
|
gets^ night^ gets
mouse^ what^ mouse
bets^ mirrors^ bets
knows^ case^ knows
impaired^ serve^
|
impaired
|
ABA
|
fluid^ habit^ fluid
round^ tear^ round
jelly^ killer^ jelly
distance^ cover^ distance
nail^ those^
|
nail
|
ABA
|
rain^ shoulder^ rain
madness^ open^ madness
sudden^ bone^ sudden
girls^ crew^ girls
mental^ thirst^
|
mental
|
ABA
|
move^ ease^ move
deserve^ dawn^ deserve
secret^ space^ secret
lens^ cube^ lens
ride^ venom^
|
ride
|
ABA
|
man^ lesson^man
station^ knows^ station
armor^ pass^ armor
famous^ noise^ famous
umbrella^ testament^
|
umbrella
|
ABA
|
kind^ killer^ kind
wrestler^ dragons^ wrestler
itt^ stomach^itt
from^ wear^ from
friendly^ tank^
|
friendly
|
ABA
|
reme^ milk^reme
tunnel^ alarms^ tunnel
ship^ everything^ ship
daylight^ probably^ daylight
clothes^ longer^
|
clothes
|
ABA
|
weather^ built^ weather
me^ rage^me
animal^ monster^ animal
moon^ bride^ moon
g^land^
|
g
|
ABA
|
storm^ bricks^ storm
testament^ open^ testament
bothered^ corn^ bothered
wire^ general^ wire
which^ nest^
|
which
|
ABA
|
End of preview. Expand
in Data Studio
NAM Causal Head Gating Datasets
Datasets for the nam-causal-head-gating Python package.
Paper: Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers (NeurIPS 2025)
Authors: Andrew Nam, Henry Conklin, Yukang Yang, Thomas Griffiths, Jonathan Cohen, Sarah-Jane Leslie
Datasets
aba_abb
Pattern recognition dataset for testing induction heads in transformer models.
- Format: TSV (tab-separated values)
- Columns:
prompt,target - Size: ~200K examples
- Task: Given a pattern like
A^ B^ A\n C^ D^ C\n E^ F^, predict the next token
This dataset uses real vocabulary tokens (not simple letters) with ^ delimiters to test pattern completion / induction head behavior.
Usage
from causal_head_gating.data import get_aba_abb_path, CHGDataset
# Download automatically (cached after first use)
data_path = get_aba_abb_path()
# Load with tokenizer
dataset = CHGDataset.from_tsv(
str(data_path),
tokenizer=tokenizer,
last_token_only=True,
)
Citation
@inproceedings{nam2025causal,
title={Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers},
author={Nam, Andrew and Conklin, Henry and Yang, Yukang and Griffiths, Thomas and Cohen, Jonathan and Leslie, Sarah-Jane},
booktitle={Advances in Neural Information Processing Systems},
year={2025}
}
License
MIT License
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