NSF award 2530728 · Trustees of Boston University

NSF-BSF: RI: Small: Beyond Binary Variables: Defining, Locating, and Editing Multi-dimensional Features in Large Language Models

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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Decide about an extension3 May 2028in 563 days
award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2530728
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $471,529
Awardee: Trustees of Boston University, Boston, MA
Program: Robust Intelligence
Directorate: CSE

Abstract

This project expands our understanding of what modern artificial intelligence (AI) systems know, and our ability to precisely control them. Large language models (LLMs), a type of AI, have proven useful on a wide variety of tasks, yet their internal decision-making processes remain largely a mystery. Public understanding of these systems is often based on observing their successes and failures, and there is often an…

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