From bb94715cfff481bc362e8f387a6bba0c44653b59 Mon Sep 17 00:00:00 2001
From: Matt Van Horn <455140+mvanhorn@users.noreply.github.com>
Date: Fri, 22 May 2026 03:22:27 -0700
Subject: [PATCH] docs(captum): fix typo in Layer Attribution definition

The Captum intro tutorial defined Layer Attribution as
"...an input image in an example of layer attribution" - "in" used
where "is" was intended. The corresponding Feature Attribution
bullet a few lines above uses the parallel construction "...is an
example of feature attribution," so the surrounding text already
signals the intended phrasing. Replace "in" with "is".

Fixes #3905
---
 beginner_source/introyt/captumyt.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/beginner_source/introyt/captumyt.py b/beginner_source/introyt/captumyt.py
index d08052caec..529bb0c657 100644
--- a/beginner_source/introyt/captumyt.py
+++ b/beginner_source/introyt/captumyt.py
@@ -48,7 +48,7 @@
    the review is an example of feature attribution.
 -  **Layer Attribution** examines the activity of a model’s hidden layer
    subsequent to a particular input. Examining the spatially-mapped
-   output of a convolutional layer in response to an input image in an
+   output of a convolutional layer in response to an input image is an
    example of layer attribution.
 -  **Neuron Attribution** is analagous to layer attribution, but focuses
    on the activity of a single neuron.