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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 14761
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    INDEX
    Explanations

    references to specific films and their titles

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

    movie titles

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    ]-->
    -0.44
    Personensuche
    -0.41
     telefónica
    -0.36
     properties
    -0.35
    RefNanny
    -0.34
     Cabral
    -0.32
     prevenção
    -0.31
     Meeres
    -0.31
    ilarang
    -0.31
     Flüs
    -0.30
    POSITIVE LOGITS
     חיצוניים
    0.62
    pidou
    0.60
     Gump
    0.58
     useAppContext
    0.56
     ModelExpression
    0.56
     propOrder
    0.54
    AddTagHelper
    0.54
    
    0.52
     intStringLen
    0.51
    riwal
    0.51
    Activations Density 0.073%

    No Known Activations