BUG: Regression in getitem for SparseArray with greater comparison

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Reproducible Example

#44955 broke some things with greater comparisons. We should fix them before 1.4 is released or revert here.

s = pd.arrays.SparseArray([1, 2, 3, 4, np.nan, np.nan], fill_value=np.nan)
s[s>2]

Issue Description

This returns

[1.0, 2.0, 3.0, 4.0]
Fill: nan
IntIndex
Indices: array([0, 1, 2, 3], dtype=int32)

Expected Behavior

This returned

[3.0, 4.0]
Fill: nan
IntIndex
Indices: array([0, 1], dtype=int32)

before which was correct.

Installed Versions

INSTALLED VERSIONS

commit : a51cd1053e33a2d0dcf5e94efe7cd8ea2d15a1ee python : 3.8.12.final.0 python-bits : 64 OS : Linux OS-release : 5.11.0-43-generic Version : #47~20.04.2-Ubuntu SMP Mon Dec 13 11:06:56 UTC 2021 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8

pandas : 1.4.0.dev0+1516.ga51cd1053e numpy : 1.21.5 pytz : 2021.1 dateutil : 2.8.2 pip : 21.3.1 setuptools : 59.8.0 Cython : 0.29.24 pytest : 6.2.5 hypothesis : 6.23.1 sphinx : 4.2.0 blosc : None feather : None xlsxwriter : 3.0.1 lxml.etree : 4.6.3 html5lib : 1.1 pymysql : None psycopg2 : None jinja2 : 3.0.1 IPython : 7.28.0 pandas_datareader: None bs4 : 4.10.0 bottleneck : 1.3.2 fsspec : 2021.11.0 fastparquet : 0.7.1 gcsfs : 2021.05.0 matplotlib : 3.4.3 numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 1.0.1 pyxlsb : None s3fs : 2021.11.0 scipy : 1.7.2 sqlalchemy : 1.4.25 tables : 3.6.1 tabulate : 0.8.9 xarray : 0.18.0 xlrd : 2.0.1 xlwt : 1.3.0 numba : 0.53.1 zstandard : None None

Process finished with exit code 0

[phofl]

See #41957

[bdrum]

@jreback, @phofl this also could be closed. Fixed and tested by #45125