From Williams' Probability with Martingales:
2.3. Examples of $(\Omega, \mathcal{F})$ pairs
We leave the question of assigning probabilities until later.(a) Experiment: Toss coin twice. We can take $$ \Omega = \{HH, HT, TH, TT\}, \quad \mathcal{F} = \mathcal{P}(\Omega) := \text{set of all subsets of $\Omega$}. $$ In this module, the intuitive event ‘At least one head is obtained’ is described by the mathematical event (element of $\mathcal{F}$) $\{HH, HT, TH\}$.
(b) Experiment: Toin coss infinitely often. We can take $$ \Omega = \{H,T\}^{\mathbb{N}} $$ so that a typical point $\omega$ of $\Omega$ is a sequence $$ \omega = (\omega_1, \omega_2, \dotsc), \quad \omega_n \in \{H,T\}. $$ We certainly wish to speak of the intuitive event ‘$\omega_n = W$’ where $W \in \{H,T\}$, and it is natural to choose $$ \color{red}{ \mathcal{F} = \sigma( \{w \in \Omega : \omega_n = W\} : n \in \mathbb{N}, W \in \{H,T\} ) }. $$ Although $\color{red}{\mathcal{F} \neq \mathcal{P}(\Omega)}$ (accept this!), it turns out that $\mathcal{F}$ is big enough; […]
Why is it that $\mathscr{F} \ne 2^{\Omega}$ ?
What are some elements of $2^{\Omega}$ that are not in $\mathscr{F}$?