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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10887
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    INDEX
    Explanations

    actions related to dipping or coating food items

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

    "dipping" or "immersion"

    np_acts-logits-general · gemini-2.0-flash

    dipping or immersing into

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     banners
    -0.42
    LookAnd
    -0.41
     venti
    -0.40
    wkt
    -0.39
    lemény
    -0.39
     Weak
    -0.39
     alamu
    -0.38
     enfans
    -0.38
    Hentet
    -0.38
    notNull
    -0.38
    POSITIVE LOGITS
     immersion
    1.30
     immerse
    1.30
     dip
    1.28
     dipping
    1.28
     dipped
    1.27
     mergul
    1.23
     Immersion
    1.23
     immersed
    1.23
    Immer
    1.20
     Dip
    1.15
    Activations Density 0.230%

    No Known Activations