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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. 82859
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    INDEX
    Explanations

    references to businesses and companies, particularly in context to their founding, growth, and operations

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

    specializes or manufactures

    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
    canestro
    -0.37
     negativos
    -0.35
    lastung
    -0.34
    krieg
    -0.34
    خه
    -0.34
    ugc
    -0.33
     kiệm
    -0.33
    mannschaft
    -0.33
    DL
    -0.33
     bénévol
    -0.32
    POSITIVE LOGITS
     manufacture
    1.08
     specializes
    1.07
     specialises
    1.05
     specializing
    1.05
     specialize
    1.05
     specialise
    1.04
     specialising
    1.02
     manufactures
    0.98
     specialised
    0.93
     specialized
    0.91
    Activations Density 0.062%

    No Known Activations