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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 93914
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    INDEX
    Explanations

    references to specific biochemical terms, particularly related to cholesterol metabolism

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    CET abbreviations

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     themſelves
    -0.51
     interpre
    -0.49
     Sai
    -0.47
     Jos
    -0.47
     Wra
    -0.46
     Sey
    -0.46
     protes
    -0.45
    Swiper
    -0.45
     BRA
    -0.44
    echos
    -0.43
    POSITIVE LOGITS
     CET
    0.95
     Cet
    0.84
    CET
    0.82
    Cet
    0.81
     cet
    0.77
    cet
    0.72
    CppMethod
    0.67
     OMITBAD
    0.56
    cets
    0.56
     Catalana
    0.55
    Activations Density 0.018%

    No Known Activations