Interpretability researchers have huge advantages over neuroscientists

Studying artificial neural networks is far easier than neuroscience: you can record all neurons on arbitrary data without them changing, ablate and undo changes, force any neuron active, have the full connectome with known excitatory/inhibitory weights, and take gradients — yet despite all these advantages it remains very hard, implying neuroscience faces a near-impossible problem.