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@@ -221,7 +221,8 @@ <h2 class="title is-3">Using MAIA to reveal biases</h2>
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       <h2 class="title is-3">Validating MAIA explanations</h2>
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-        <p>Use neuron labeling as validation bc there are baselines. Synthetic neurons, adding to FIND. Also do predictive eval, see paper. Also use human experts to label neurons, see paper.</p>
+        <p>In addition to being useful for applications like spurious feature removal and bias detection, are MAIA descriptions <em>accurate</em>?</p><br>
+	<p>We evaluate MAIA on the neuron description paradigm, which appears as a subroutine of many interpretabiltiy procedures (e.g. <a href="https://arxiv.org/abs/1704.05796" target="_blank">Bau et al. 2017</a>, <a href="https://arxiv.org/abs/2201.11114" target="_blank">Hernandez et al. 2022</a>, <a href="https://arxiv.org/abs/2204.10965" target="_blank">Oikarenen & Weng 2022</a>, <a href="https://openaipublic.blob.core.windows.net/neuron-explainer/paper/index.html" target="_blank">Bills et al. 2023</a>), and offers common baselines for comparison.</p>
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