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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8057
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    Explanations

    references to animals, particularly in the context of wildlife interactions

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

    specific animals

    np_acts-logits-general · gemini-2.0-flash

    animal mentions

    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
    AsUp
    -0.63
    fjspx
    -0.59
    LabelTagHelper
    -0.54
    ChildScrollView
    -0.52
    ViewImports
    -0.50
    setVerticalGroup
    -0.47
    énario
    -0.47
     Paglinawan
    -0.45
    (!__
    -0.45
    GOTREF
    -0.45
    POSITIVE LOGITS
     animals
    0.93
     animal
    0.88
     Animals
    0.79
     Animal
    0.76
    animal
    0.75
    animals
    0.74
    Animals
    0.74
     ANIMALS
    0.69
    Animal
    0.68
     animais
    0.67
    Activations Density 0.636%

    No Known Activations