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2026.TA.features Gemma 2 2b Gemmascope FtL0 24 25 Ms1000 Ml1024 Tk10

Packed circuit-tracer feature cache produced by analysis.features.collectfeatureactivations.

TipoOtherModelo basegemma-2-2b_gemmascope_width_16k_average_l0_76VersiónRevision 6d31c42Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
66,1–71,7 MB
Modelo base
gemma-2-2b_gemmascope_width_16k_average_l0_76
Versión
vRevision 6d31c42
Actualizado
5 oct 2026
Descargas
0
Fuente
Hugging Face

Descripción de la fuente

2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10

Packed circuit-tracer feature cache produced by analysis.features.collect_feature_activations.

Status

Complete.

Circuit-Tracer Usage

Use this repo ID as the scan name: siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10. The frontend reads packed features from features/index.json.gz and features/layer_N.bin.

Collection Inputs

Summary

  • Total tokens: 871014
  • Tokens per domain: {'chat': 391794, 'fineweb': 479220}

Fuentes

1 fuente

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Artefactos del modelo

26 artefactos

features/layer_0.bin

bin · 69,5 MB · SHA-256 52fc2973be81…e88d · Hugging Face

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features/layer_1.bin

bin · 68,9 MB · SHA-256 015b17d3858e…500f · Hugging Face

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features/layer_10.bin

bin · 69,3 MB · SHA-256 0c86b520f479…0498 · Hugging Face

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features/layer_11.bin

bin · 68,0 MB · SHA-256 e81507b8139f…1bfb · Hugging Face

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features/layer_12.bin

bin · 69,6 MB · SHA-256 8c3b3ee9622d…132d · Hugging Face

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features/layer_13.bin

bin · 71,4 MB · SHA-256 0ced3e8084c5…83ae · Hugging Face

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features/layer_14.bin

bin · 71,7 MB · SHA-256 c71a13065e34…027b · Hugging Face

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features/layer_15.bin

bin · 71,6 MB · SHA-256 53b1d43c999b…488e · Hugging Face

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features/layer_16.bin

bin · 70,8 MB · SHA-256 1e682cc795e0…13c0 · Hugging Face

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features/layer_17.bin

bin · 69,7 MB · SHA-256 c477e4b8b7c8…7039 · Hugging Face

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features/layer_18.bin

bin · 67,9 MB · SHA-256 6eb29caa6eed…2ea5 · Hugging Face

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features/layer_19.bin

bin · 69,6 MB · SHA-256 b1e164999cf6…ecfb · Hugging Face

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features/layer_2.bin

bin · 70,8 MB · SHA-256 dcb19d4d9a74…b1dc · Hugging Face

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features/layer_20.bin

bin · 69,7 MB · SHA-256 75055cc54d5f…13a2 · Hugging Face

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features/layer_21.bin

bin · 67,9 MB · SHA-256 e8c8cf0c2456…de2f · Hugging Face

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features/layer_22.bin

bin · 68,0 MB · SHA-256 aeac6b2f61ba…8956 · Hugging Face

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features/layer_23.bin

bin · 67,5 MB · SHA-256 adb4913dc6f0…62b6 · Hugging Face

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features/layer_24.bin

bin · 66,1 MB · SHA-256 4c997f33b3c0…5fc8 · Hugging Face

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features/layer_25.bin

bin · 66,5 MB · SHA-256 6f8c96ea855b…b2a2 · Hugging Face

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features/layer_3.bin

bin · 69,4 MB · SHA-256 f3028ac251e9…7821 · Hugging Face

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features/layer_4.bin

bin · 69,9 MB · SHA-256 b007ea0d0104…0357 · Hugging Face

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features/layer_5.bin

bin · 70,7 MB · SHA-256 8619e37eafae…8e19 · Hugging Face

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features/layer_6.bin

bin · 71,2 MB · SHA-256 c968e26b87f6…6723 · Hugging Face

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features/layer_7.bin

bin · 69,1 MB · SHA-256 267b1aa0a3fa…283d · Hugging Face

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features/layer_8.bin

bin · 69,8 MB · SHA-256 57e062afaa85…910a · Hugging Face

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features/layer_9.bin

bin · 68,1 MB · SHA-256 9448c1176caa…5874 · Hugging Face

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Extractos de fuentes

3 extractos

--- base_model: gemma-2-2b_gemmascope_width_16k_average_l0_76 datasets: - siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits - science-of-finetuning/fineweb-1m-sample library_name: circuit-tracer tags: - transcoder-adapters - circuit-tracer - feature-cache --- # 2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10 Packed circuit-tracer feature cache produced by `analysis.features.collect_feature_activations`. ## Status Complete. ## Circuit-Tracer Usage Use this repo ID as the scan name: `siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10`. The frontend reads packed features from `features/index.json.gz` and `features/layer_N.bin`. ## Collection Inputs - **Model**: [gemma-2-2b_gemmascope_width_16k_average_l0_76](https://huggingface.co/gemma-2-2b_gemmascope_width_16k_average_l0_76) - **Config**: [feature_collection_config.json](feature_collection_config.json) - **Datasets**: - [siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits](https://huggingface.co/datasets/siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits) - [science-of-finetuning/fineweb-1m-sample](https://huggingface.co/datasets/science-of-finetuning/fineweb-1m-sample) ## Summary - **Total tokens**: 871014 - **Tokens per domain**: `{'chat': 391794, 'fineweb': 479220}`

--- base_model: gemma-2-2b_gemmascope_width_16k_average_l0_76 datasets: - siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits - science-of-finetuning/fineweb-1m-sample library_name: circuit-tracer tags: - transcoder-adapters - circuit-tracer - feature-cache --- # 2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10 Packed circuit-tracer feature cache produced by `analysis.features.collect_feature_activations`. ## Status Reserved; feature collection is in progress. ## Circuit-Tracer Usage Use this repo ID as the scan name: `siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10`. The frontend reads packed features from `features/index.json.gz` and `features/layer_N.bin`. ## Collection Inputs - **Model**: [gemma-2-2b_gemmascope_width_16k_average_l0_76](https://huggingface.co/gemma-2-2b_gemmascope_width_16k_average_l0_76) - **Config**: [feature_collection_config.json](feature_collection_config.json) - **Datasets**: - [siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits](https://huggingface.co/datasets/siddharthmb/2026.transcoder-adapters.lmsys-chat-1m-splits) - [science-of-finetuning/fineweb-1m-sample](https://huggingface.co/datasets/science-of-finetuning/fineweb-1m-sample)

Source context: 0 downloads · 0 likes · Library circuit-tracer · Repo siddharthmb/2026.TA.features_gemma-2-2b_gemmascope_ftL0-24-25_ms1000_ml1024_tk10