From 561055f8f136ef42ef808c5dcf52bb1c4d58d62c Mon Sep 17 00:00:00 2001 From: Goncalo Paulo Date: Fri, 7 Nov 2025 14:17:41 +0000 Subject: [PATCH] Update readme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 020128b7..e569de7a 100644 --- a/README.md +++ b/README.md @@ -16,7 +16,7 @@ Install this library as a local editable installation. Run the following command To run the default pipeline from the command line, use the following command: -`python -m delphi EleutherAI/pythia-160m EleutherAI/Pythia-160m-SST-k32-32k --n_tokens 10_000_000 --max_latents 100 --hookpoints layers.5 --scorers detection --filter_bos --name llama-3-8B` +`python -m delphi EleutherAI/pythia-160m EleutherAI/Pythia-160m-SST-k32-32k --n_tokens 10_000_000 --max_latents 100 --hookpoints layers.5.mlp --scorers detection --filter_bos --name llama-3-8B` This command will: 1. Cache activations for the first 10 million tokens of the default dataset, `EleutherAI/SmolLM2-135M-10B`. @@ -24,7 +24,7 @@ This command will: 3. Score the explanations using the detection scorer. 4. Log summary metrics including per-scorer F1 scores and confusion matrices, and produce histograms of the scorer classification accuracies. -The pipeline is highly configurable and can also be called programmatically (see the [end-to-end test](https://github.com/EleutherAI/delphi/blob/main/delphi/tests/e2e.py) for an example). +The pipeline is highly configurable and can also be called programmatically (see the [end-to-end test](https://github.com/EleutherAI/delphi/blob/main/tests/e2e.py) for an example). To use experimental features, create a custom pipeline. You can take inspiration from the main pipeline in [delphi.\_\_main\_\_](https://github.com/EleutherAI/delphi/blob/main/delphi/__main__.py).