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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 17788
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    INDEX
    Explanations

    references to types of wood or wooden materials

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

    hardwood properties

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     térmica
    -0.36
    ValueStyle
    -0.36
    scheme
    -0.29
    膩
    -0.29
     Vereinigung
    -0.29
     terapé
    -0.28
    Биография
    -0.28
    order
    -0.28
     colectiva
    -0.28
    levance
    -0.27
    POSITIVE LOGITS
     Hardwood
    0.73
     hardwood
    0.73
     floors
    0.71
     Chwiliwch
    0.68
     hardwoods
    0.67
     floor
    0.66
    djangoproject
    0.64
    PostInfinity
    0.63
     Floor
    0.63
     onBackPressed
    0.63
    Activations Density 0.001%

    No Known Activations