Aaron Mueller

@amuuueller.bsky.social

2398 Followers 330 Following

Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS

Table of results for the causal variable localization track.

Visual intuition underlying the interchange intervention accuracy (IIA), the main faithfulness metric for this track.

Overview of the causal variable localization track. Users provide a trained featurizer and location at which the causal variable is hypothesized to exist. The faithfulness of the intervention is measured; this is the final score.

Table summarizing the results from the circuit localization track.

Illustration of CPR (area under the faithfulness curve) and CMD (area between the faithfulness curve and 1).

Overview of the circuit localization track. The user provides circuits of various sizes. The faithfulness of each is computed, and then the area under the faithfulness vs. circuit size curve is computed.

Table summarizing the task datasets in MIB and their sizes. This includes IOI, MCQA, Arithmetic (addition and subtraction), and the easy and challenge splits of ARC.

Overview of the two tracks in MIB: the circuit localization track, and the casual variable localization track.