Create README.md
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README.md
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Advesarially fined-tuned TinyStories-33M models + Various SAEs
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See https://github.com/HannesThurnherr/advint/commit/e819b53e54c57ba70b28ef2c18e82418e3980509
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```python
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from transformer_lens import HookedTransformer
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from SAE import TopKSparseAutoencoder # see https://github.com/HannesThurnherr/advint/blob/main/SAE.py
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model = HookedTransformer.from_pretrained("roneneldan/TinyStories-33M")
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model.load_state_dict(torch.load("lm_adv.pth"))
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resid_dim = model.cfg.d_model
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sae_latent_dim = 10 * resid_dim
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sae = TopKSparseAutoencoder(input_dim=resid_dim, latent_dim=sae_latent_dim, k=25)
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sae.load_state_dict(torch.load("models/sae_base.pth"))
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#sae.load_state_dict(torch.load("models/sae_base_e2e.pth"))
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#sae.load_state_dict(torch.load("models/sae_adv.pth"))
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#sae.load_state_dict(torch.load("models/sae_post_adv.pth"))
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#sae.load_state_dict(torch.load("models/sae_post_adv_e2e.pth"))
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```
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