Disentangle Neurons of Vision Models with Sparse Autoencoders

Baars, Mario Louis (2025) Disentangle Neurons of Vision Models with Sparse Autoencoders. Master's, Friedrich-Schiller-Universität Jena.

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Document Type:

Thesis (Master's)

Title:

Disentangle Neurons of Vision Models with Sparse Autoencoders

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Baars, Mario Louis	mario.baars (at) dlr.de	https://orcid.org/0009-0003-8777-0218	198823581

DLR Supervisors:

Contribution	DLR Supervisor	Institution or E-Mail	DLR Supervisor's ORCID iD
Thesis advisor	Schmalwasser, Laines	Laines.Schmalwasser (at) dlr.de	https://orcid.org/0009-0006-1120-1299

Date:

2025

Open Access:

Number of Pages:

Status:

Published

Keywords:

Sparse Autoencoder, Explainability, Computer Vision

Institution:

Friedrich-Schiller-Universität Jena

Department:

Faculty of Mathematics and Computer Science

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Space

HGF - Program Themes:

Space System Technology

DLR - Research area:

Raumfahrt

DLR - Program:

R SY - Space System Technology

DLR - Research theme (Project):

R - Collaboration of aviation operators and AI systems

Location:

Jena

Institutes and Institutions:

Deposited By:

Baars, Mario Louis

Deposited On:

03 Dec 2025 11:16

Last Modified:

05 Dec 2025 13:13

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