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@jexp
Last active May 30, 2025 00:27
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Save jexp/8d991d1e543c5a576a3f1ee70132ce71 to your computer and use it in GitHub Desktop.
create index for (n:Node) on (n.jsNodeId);
create constraint for (n:Node) require (n.node_id) is unique;
with "https://gist.github.com/jexp/8d991d1e543c5a576a3f1ee70132ce71/raw/medical-diagnosis.json" as url
call apoc.load.json(url) yield value as v
with v.metadata as metadata, v.links as links, v.qParams as qParams, v.nodes as nodes
merge (m:Metadata {id: metadata.slug + ":" +metadata.scan})
on create set m += metadata
merge (m)-[:PARAMS]->(q:QParams)
on create set q += qParams {.linkType, .pinnedIds,.clickedId, .sg_pos}
with *
call (nodes) {
unwind nodes as n
merge (node:Node {node_id:n.node_id})
on create set node += n
}
call (qParams) {
unwind qParams.supernodes as s
merge (sn:SuperNode {name:s[0]}) // on create set s.ids = s[1..]
with *
unwind s[1..] as sId
match (n:Node {jsNodeId:sId})
merge (sn)<-[:PART_OF]-(n)
}
call (links) {
unwind links as l
match (s:Node {node_id:l.source})
match (t:Node {node_id:l.target})
create (s)-[:ACTIVATES {weight:l.weight}]->(t)
};
MATCH p=()-[r:ACTIVATES]->() WITH r.weight as w
return percentileDisc(w,0.95);
match p1=(s:SuperNode)<-[:PART_OF]-(n)
match p2=(n)-[r:ACTIVATES]-(m) where r.weight > 0.5
return p1,p2;
{
"metadata": {
"slug": "medical-diagnosis",
"scan": "jackl-circuits-runs-1-4-sofa-v3_0",
"prompt_tokens": [
"<EOT>",
"\u23ce\u23ce",
"Human",
":",
" A",
" ",
"32",
"-",
"year",
"-",
"old",
" female",
" at",
" ",
"30",
" ",
"weeks",
" ge",
"station",
" presents",
" with",
" severe",
" right",
" upper",
" quad",
"rant",
" pain",
",",
" mild",
" head",
"ache",
",",
" and",
" n",
"aus",
"ea",
".",
" BP",
" is",
" ",
"162",
"/",
"98",
" ",
"mm",
"H",
"g",
",",
" and",
" labs",
" show",
" m",
"ild",
"ly",
" elevated",
" liver",
" enz",
"ymes",
".",
"\u23ce\u23ce",
"If",
" we",
" can",
" only",
" ask",
" about",
" one",
" other",
" sympt",
"om",
",",
" we",
" should",
" ask",
" whether",
" she",
"'s",
" experiencing",
"...",
"\u23ce\u23ce",
"Assistant",
":",
" ..."
],
"prompt": "\n\nHuman: A 32-year-old female at 30 weeks gestation presents with severe right upper quadrant pain, mild headache, and nausea. BP is 162/98 mmHg, and labs show mildly elevated liver enzymes.\n\nIf we can only ask about one other symptom, we should ask whether she's experiencing...\n\nAssistant: ..."
},
"qParams": {
"linkType": "both",
"pinnedIds": [
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"1_13689519_-0",
"1_4905846_-0",
"10_16240265_-3",
"9_14380893_-0",
"4_27854404_-1",
"4_27854404_-0",
"5_27854404_-2",
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"0_9187746_-1",
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"7_28188265_-0",
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"6_14524652_-0",
"9_5748935_-0",
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"6_27217466_-0",
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"0_25094447_-0",
"0_1267611_-0",
"4_21452688_-0",
"0_18674269_-0",
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"9_17343849_-0",
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"4_15030351_-0",
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"13_28684077_-0",
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"13_27208558_-0",
"16_15433558_-0",
"14_16730584_-0",
"14_16730584_-1",
"14_17807400_-0"
],
"clickedId": "supernode-7",
"supernodes": [
[
"right upper quadrant pain",
"2_15480434_-0",
"3_27932492_-0",
"1_28811730_-0"
],
[
"nausea",
"9_5748935_-0",
"10_18616995_-0",
"4_16697440_-0",
"3_28702388_-0",
"5_1459561_-0",
"6_11806718_-0",
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"1_29460930_-0",
"2_18096026_-0",
"0_14485369_-0",
"2_4749723_-0",
"1_686671_-0"
],
[
"headache",
"4_24907239_-0",
"2_9240898_-0",
"3_18088517_-0",
"2_19455126_-0",
"1_22701166_-0",
"3_17552881_-0",
"4_18193178_-0",
"5_22441281_-0",
"5_22902171_-0",
"6_22902171_-0"
],
[
"pregnancy",
"1_6564455_-0",
"3_917881_-0",
"2_14685408_-0",
"2_7806479_-0",
"2_23636517_-0",
"1_13689519_-0",
"1_4905846_-0",
"3_4735775_-0"
],
[
"bile-related disorders (cholestasis, cholecytisis)",
"6_1730239_-0",
"7_28295871_-0"
],
[
"protein in urine",
"13_21568108_-0",
"11_21568108_-0",
"12_21568108_-0",
"6_10251640_-0",
"11_10251640_-0",
"13_10251640_-0",
"15_10251640_-0",
"14_10251640_-0"
],
[
"(high) blood pressure",
"4_705656_-0",
"1_9292281_-0",
"0_1267611_-0",
"3_1012371_-0",
"4_21452688_-0",
"0_18674269_-0",
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"0_25094447_-0",
"0_4484532_-0",
"0_10405776_-0",
"4_26830883_-0",
"9_28475170_-0"
],
[
"preeclampsia",
"3_22829586_-0",
"9_17343849_-0",
"10_17343849_-0",
"8_4050338_-2",
"12_13681865_-0",
"8_27854404_-0",
"9_27854404_-0",
"7_9187746_-0",
"8_27854404_-1",
"5_9187746_-1",
"8_19920278_-0",
"1_27872822_-0",
"6_25051579_-0",
"0_4050338_-1",
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"0_4050338_-0",
"0_9187746_-1",
"4_27872822_-0",
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"8_4050338_-0",
"10_16240265_-0",
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],
[
"liver tests / enzymes",
"1_13789683_-0",
"2_5713776_-0",
"3_30641706_-0",
"4_18645505_-0",
"0_23026732_-0",
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"8_17457338_-0",
"5_25960306_-0",
"4_2360656_-0",
"5_572340_-0",
"0_26606833_-0"
],
[
"hemorrhage",
"13_28684077_-0",
"15_28684077_-0"
],
[
"edema / swelling",
"13_27208558_-0",
"14_16730584_-1",
"14_16730584_-0"
],
[
"visual deficits",
"11_14993303_-1",
"16_15433558_-0",
"11_14993303_-0",
"12_6376076_-0",
"13_28948001_-0",
"14_28948001_-0",
"13_6376076_-0",
"13_9407284_-0"
],
[
"epigastric pain",
"14_17807400_-0"
]
],
"sg_pos": "532 571 843 826 680 845 515 814 383 848 873 252 751 245 114 854 365 227 244 845 524 239 784 460 182 227 756 -6 888 6"
},
"nodes": [
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}
@jexp
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jexp commented May 30, 2025

In our recent interpretability research, we introduced a new method to trace the thoughts of a large language model. Today, we’re open-sourcing the method so that anyone can build on our research.

Our approach is to generate attribution graphs, which (partially) reveal the steps a model took internally to decide on a particular output. The open-source library we’re releasing supports the generation of attribution graphs on popular open-weights models—and a frontend hosted by Neuronpedia lets you explore the graphs interactively.

image

@jexp
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jexp commented May 30, 2025

Imported into Neo4j

match p1=(s:SuperNode)<-[:PART_OF]-(n)
match p2=(n)-[r:ACTIVATES]-(m) where r.weight > 0.5
return p1,p2;
Screenshot 2025-05-30 at 02 26 37

graph (7)

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