You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: With a pattern discoveredin §3.1.2, this step confirms the pattern’s global relevance by empirically measuring the proportion of attention values aligning with the pattern. For each attention head, the associated predicate is evaluated over the entire validation set to ensure the pattern is not appearing by chance on the certain data that the user happen to look at. Specifically, we define the global relevance (GR) of a pattern P for a head h as follows:\textrm{GR}(P,h)=\frac{1}{|X|}\sum_{x\in X}\frac{\sum_{i}^{|x|}\sum_{j}^{|x|}\alpha_{i,j}^{(x,h)}\cdot\mathbbm{1}_{P(x_{i},x_{j})}}{|x|}(1)where the attention value from the token x_{i} to x_{j} on the head h for an input sample x, denoted as \alpha_{i,j}^{(x,h)}, is aggregated if and only if P(x_{i},x_{j}) holds. To validate a pattern’s generality, the relevance is averaged over the validation set X. This pattern describes the “attending to matching tokens” behaviour, wherethe attention value \alpha_{i,j}^{h} between input tokens x_{i} and x_{j} on the head h is high whenever x_{i}=x_{j}. For example, as shown in footnote 3 (i), the token "photo" mostly attends to other appearances of the token "photo" in the input sequence. To evaluate whether this pattern has a large global relevance for any head, we only consider tokens that appear at least twice within a single documents, and compute GR (Eq. 1), in which P(x_{i},x_{j}) holds if and only if x_{i}=x_{j}, i.e. \mathbbm{1}_{P(x_{i},x_{j})}=(\mathbbm{1}_{\textrm{freq}(x_{i})>1})\times(\mathbbm{1}_{x_{i}=x_{j}}).

Question: Then, overall, is it true that a pattern is determined to have global relevance on an attention head if the pattern has a significantly higher attention value across all samples in a dataset (compared to other heads)?
Yes, it is.