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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. 1109
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    INDEX
    Explanations

    various materials used in product manufacturing

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

    Materials or metals

    np_acts-logits-general · gemini-2.0-flash

    made of material

    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
     lâmpada
    -0.43
     SEDS
    -0.41
    المكان
    -0.40
    ymce
    -0.40
     kří
    -0.39
    apkamer
    -0.39
     mawar
    -0.39
    cademic
    -0.39
    kurang
    -0.38
    principalColumn
    -0.38
    POSITIVE LOGITS
     matériaux
    0.65
     materiali
    0.64
     material
    0.63
     materials
    0.62
     materi
    0.56
    materials
    0.56
    material
    0.56
    MATERIAL
    0.54
    Material
    0.52
     Material
    0.52
    Activations Density 0.295%

    No Known Activations