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README.md

@@ -24,7 +24,7 @@ This repository contains 1 Sparse Autoencoder(s) (SAE) trained using [SAELens](h
 
 | Hook Point |
 |------------|
-| `sae` |
+| `blocks.0.hook_resid_post` |
 
 ## Usage
 
@@ -34,7 +34,7 @@ from sae_lens import SAE
 # Load an SAE for a specific hook point
 sae, cfg_dict, sparsity = SAE.from_pretrained(
     release="rufimelo/secure_code_qwen_coder_topk_cl_16384",
-    sae_id="sae"  # Choose from available hook points above
+    sae_id="blocks.0.hook_resid_post"  # Choose from available hook points above
 )
 
 # Use with TransformerLens
@@ -44,15 +44,15 @@ model = HookedTransformer.from_pretrained("Unknown")
 
 # Get activations and encode
 _, cache = model.run_with_cache("your text here")
-activations = cache["sae"]
+activations = cache["blocks.0.hook_resid_post"]
 features = sae.encode(activations)
 ```
 
 ## Files
 
-- `sae/cfg.json` - SAE configuration
-- `sae/sae_weights.safetensors` - Model weights
-- `sae/sparsity.safetensors` - Feature sparsity statistics
+- `blocks.0.hook_resid_post/cfg.json` - SAE configuration
+- `blocks.0.hook_resid_post/sae_weights.safetensors` - Model weights
+- `blocks.0.hook_resid_post/sparsity.safetensors` - Feature sparsity statistics
 
 ## Training
 

blocks.0.hook_resid_post/cfg.json

@@ -0,0 +1 @@
+{"d_in": 3584, "d_sae": 16384, "dtype": "float32", "device": "cuda", "apply_b_dec_to_input": true, "normalize_activations": "none", "reshape_activations": "none", "metadata": {"sae_lens_version": "6.26.2", "sae_lens_training_version": "6.26.2", "hook_name": "blocks.0.hook_resid_post"}, "decoder_init_norm": 0.1, "k": 64, "use_sparse_activations": false, "aux_loss_coefficient": 1.0, "rescale_acts_by_decoder_norm": true, "contrastive_weight": 0.1, "contrastive_temperature": 0.07, "contrastive_mode": "infonce", "triplet_margin": 1.0, "use_feature_contrastive": true, "architecture": "topk"}

blocks.0.hook_resid_post/sae_weights.safetensors

@@ -0,0 +1,3 @@
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+size 469842240

blocks.0.hook_resid_post/sparsity.safetensors

@@ -0,0 +1,3 @@
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+oid sha256:0c3a2e5a5d501d69d6a47634f884932d3336e0288f3ce1bdd50a325360ec8233
+size 65616