Christopher Olah

Hello! It sounds like your parameterization may be too small for the neuron you are trying to visualize. Try making your parametrization larger (eg. `param_f = lambda: param.image(larger_numer)`).

That's a great question, @tul-urte! The present list is created by a simple heuristic I wrote to find "interesting" nodes. It isn't perfect, but hopefully makes it easier for people...

I've never used tfhub, but you probably just do something like `module(images)`? Unfortunately, this is more of a tfhub qusestion than a lucid question.

Thanks for reaching out @cristinasegalin and @Uiuran . Lucid itself does not depend on colab, but code in the notebooks often relies on colab features to create visualizations of lucid's...

**Question:** How can we decompose a 1x1 feature? Or a larger feature where a spatial location selects for multiple things? Or a poly-semantic feature? **Idea:** Do attribution to the previous...

OK, let's consider our friend `mixed4e, 55` from feature visualization's [diversity section](https://distill.pub/2017/feature-visualization/#diversity). It is a "poly-semantic" neuron, detecting both fronts of cars and cats:  **(Re:1) Can this general approach...

[New colab notebook](https://colab.research.google.com/github/tensorflow/lucid/blob/master/notebooks/misc/decomposed_feature_vis_1x1.ipynb) for these ideas.

CC @ludwigschubert @znah -- Just some thoughts and not time sensitive, but I'd love any thoughts.

I think either would be exciting!

@mn02: Happy to talk about this, but I think it would fit better if you made a separate issue or a slack conversation on the Distill slack. This issue is...