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.gitattributes

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 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+gemma-4-e2b-sae.sqlite3 filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+pretty_name: Gemma 4 E2B SAE SQLite Atlas
+tags:
+- sparse-autoencoder
+- interpretability
+- sqlite
+- gemma
+---
+
+# Gemma 4 E2B SAE SQLite Atlas
+
+An exact, queryable SQLite representation of all **35** residual-stream
+sparse autoencoders from
+[`juiceb0xc0de/gemma-4-e2b-it-SAE`](https://huggingface.co/datasets/juiceb0xc0de/gemma-4-e2b-it-SAE).
+The database contains **1,720,320 feature rows**. Encoder and decoder
+vectors preserve the source checkpoints' float32 values exactly.
+
+## Files
+
+- `gemma-4-e2b-sae.sqlite3` — SQLite database (20.63 GiB)
+- `manifest.json` — source revision, dimensions, SHA-256, and integrity result
+
+Database SHA-256: `d376882e1f618d0f7a662b6b543247fca62967311af319c0bfbd4d5026820768`  
+SQLite `PRAGMA quick_check`: `ok`
+
+## Schema
+
+- `atlas_info`: format and vector-encoding metadata
+- `layers`: layer dimensions, decoder bias, source path/hash, and original metadata
+- `features`: one row per `(layer, feature)`, with encoder/decoder vectors, biases,
+  log-thresholds, and vector norms
+- `feature_thresholds`: convenience view exposing `exp(log_threshold)`
+
+Vectors are little-endian IEEE-754 float32 BLOBs. Decode one without copying:
+
+```python
+import sqlite3
+import numpy as np
+
+con = sqlite3.connect("gemma-4-e2b-sae.sqlite3")
+blob = con.execute(
+    "SELECT decoder_f32le FROM features WHERE layer=? AND feature=?", (12, 42)
+).fetchone()[0]
+decoder = np.frombuffer(blob, dtype="<f4")  # shape: (1536,)
+```
+
+## Construction
+
+Built in seven bounded five-layer waves on Hugging Face Jobs. Training checkpoints
+were deliberately excluded; only `sae.pt` and `meta.json` were downloaded. Each
+layer was committed transactionally and its staging files deleted before the next
+wave, keeping peak scratch below the 50 GiB job limit.

gemma-4-e2b-sae.sqlite3

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d376882e1f618d0f7a662b6b543247fca62967311af319c0bfbd4d5026820768
+size 22146265088

manifest.json

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+{
+  "bytes": 22146265088,
+  "database": "gemma-4-e2b-sae.sqlite3",
+  "feature_limit": null,
+  "features": 1720320,
+  "layers": 35,
+  "quick_check": "ok",
+  "sha256": "d376882e1f618d0f7a662b6b543247fca62967311af319c0bfbd4d5026820768",
+  "source_repo": "juiceb0xc0de/gemma-4-e2b-it-SAE",
+  "source_revision": "main"
+}