e4b
Datasets
All datasets matching “e4b”gemma-4-e4b-it-SAE-v2
gemma-4-e4b-webvid-4K
gemma-4-e4b-webvid-4K
This dataset contains the webvid_upgraded.json annotations and the videos referenced by that file.
Source: https://huggingface.co/datasets/OpenGVLab/VideoChat2-IT/tree/main/video/vqa/webvid_qa.
Files
webvid_upgraded.json: upgraded WebVid QA/action annotations.
videos/: MP4 files referenced by webvid_upgraded.json.
All video paths in webvid_upgraded.json are relative to the dataset root and point into videos/, for example… See the full description on the dataset page: https://huggingface.co/datasets/bear7011/gemma-4-e4b-webvid-4K.gemma-4-e4b-it-atlas
juiceb0xc0de/gemma-4-e4b-it-atlas
A brain atlas for google/gemma-4-E4B-it, the instruction-tuned E4B member of the Gemma 4 family. This is not a chat dataset or a benchmark. It is an internal-mechanics map built by running activations through a corpus of prompts and scoring what each layer, component, head, and feature direction is doing.
If you want to know what sliding-window and full-attention layers actually do differently inside one model, how KV cache sharing splits a… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/gemma-4-e4b-it-atlas.gemma4-e4b-rl100-topk128-tracesreddit-slang-detection-gemma-4-e4b-itgemma-4-e4b-it-atlas-SAE
juiceb0xc0de/gemma-4-e4b-it-atlas-sae
This joins the SAE half of the E4B atlas to the census half. Built from
juiceb0xc0de/gemma-4-e4b-it-SAE-v2
(42 layers, 32x, d_sae 81,920) against
juiceb0xc0de/gemma-4-e4b-it-atlas.
Three splits, all queryable in the browser. No download needed to look around.
The join
The atlas and the SAEs describe the same model in two index spaces that could not talk to each other:
atlas features.feature_idx in [0, 10240) an MLP hidden… See the full description on the dataset page: https://huggingface.co/datasets/juiceb0xc0de/gemma-4-e4b-it-atlas-SAE.