Comments (1)
Oh interesting. I'm curious why you'd find them useful. I was curious at how they'd look, but it was not a visual that is easily interpretable by humans. Ecco still collects the activations and you can plot them. That visual was using heatmaps to plot those values. That investigation turned to NMF factor analysis which brought forth more human-understandable patterns.
Could you shed some light on what you'd like to achieve? I might still have that code lying around somewhere. I couldn't find it from a quick search, but it's likely still around. I don't have a lot time to embed it into Ecco, but maybe just share it in its raw state if I find it.
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Related Issues (20)
- Install ecco on Apple M1 Max clip fails HOT 1
- Google Colab support only Python 3.10 HOT 7
- How to add my own model like chinese-bert-wwm-ext
- How to retrieve salience of some specific words? HOT 1
- Support for pre-generated output
- How to serialize the LMOutput object?
- installing ecco HOT 2
- Decoder hidden states not found HOT 3
- baseline for sentence classification task using IG/Deeplift?
- Installing Ecco, unable to install in Colab HOT 3
- Presence of character Ġ before each token in output HOT 2
- import ecco ERRO HOT 9
- llama support HOT 4
- bug -object has no attribute 'lm_head'- HOT 2
- lm.generate and HuggingFace's generate give different results with do_sample=False
- Adding GENRE model to ecco HOT 1
- I can't find jupyter notebook for Input_Saliency.
- Error encountered when comparing activation matrices in batch generation loop
- Support to LLM like LLAMA-2 and Vicuna? HOT 15
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