A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
}
],
"id": "https://hci.social/users/bwaber/statuses/114180945543369617",
"type": "Note",
"summary": null,
"inReplyTo": "https://hci.social/users/bwaber/statuses/114180945532960505",
"published": "2025-03-18T01:56:03Z",
"url": "https://hci.social/@bwaber/114180945543369617",
"attributedTo": "https://hci.social/users/bwaber",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://hci.social/users/bwaber/followers"
],
"sensitive": false,
"atomUri": "https://hci.social/users/bwaber/statuses/114180945543369617",
"inReplyToAtomUri": "https://hci.social/users/bwaber/statuses/114180945532960505",
"conversation": "tag:hci.social,2025-03-18:objectId=37796681:objectType=Conversation",
"content": "<p>Next was an incredible talk by Daniel Beaglehole on detection and steering in LLMs using feature learning at the Simons Institute. By building on earlier feature learning work (which is also amazing) to build concept vectors, Beaglehole shows how these can be used to dramatically steer models. Highly recommend <a href=\"https://www.youtube.com/watch?v=TlLu32yHYfk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=TlLu32yHYf</span><span class=\"invisible\">k</span></a> (9/10) <a href=\"https://hci.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>",
"contentMap": {
"en": "<p>Next was an incredible talk by Daniel Beaglehole on detection and steering in LLMs using feature learning at the Simons Institute. By building on earlier feature learning work (which is also amazing) to build concept vectors, Beaglehole shows how these can be used to dramatically steer models. Highly recommend <a href=\"https://www.youtube.com/watch?v=TlLu32yHYfk\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">youtube.com/watch?v=TlLu32yHYf</span><span class=\"invisible\">k</span></a> (9/10) <a href=\"https://hci.social/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://hci.social/tags/ai",
"name": "#ai"
}
],
"replies": {
"id": "https://hci.social/users/bwaber/statuses/114180945543369617/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://hci.social/users/bwaber/statuses/114180945543369617/replies?min_id=114180945553134187&page=true",
"partOf": "https://hci.social/users/bwaber/statuses/114180945543369617/replies",
"items": [
"https://hci.social/users/bwaber/statuses/114180945553134187"
]
}
},
"likes": {
"id": "https://hci.social/users/bwaber/statuses/114180945543369617/likes",
"type": "Collection",
"totalItems": 1
},
"shares": {
"id": "https://hci.social/users/bwaber/statuses/114180945543369617/shares",
"type": "Collection",
"totalItems": 0
}
}