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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. 107425
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    Explanations

    references to medical institutions in Daejeon, Korea, and possibly the associated terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    DAI scores

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Arran
    -0.43
    cillors
    -0.43
    Subscribers
    -0.41
    CIOS
    -0.41
     '\\;'
    -0.40
     vVar
    -0.39
     NSCoder
    -0.39
    Afterwards
    -0.39
     Planners
    -0.38
    CPP
    -0.37
    POSITIVE LOGITS
    대
    2.47
     대
    2.09
     đại
    1.62
     Đại
    1.20
     Dai
    1.17
    đại
    1.12
    Dai
    1.11
     Dae
    1.06
    대로
    1.05
    dai
    0.99
    Activations Density 0.002%

    No Known Activations