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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 5-GEMMASCOPE-RES-16K
    6. 14442
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    Explanations

    references to brands and models of motorcycles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enumi
    -0.63
    
    
    -0.60
    setVerticalGroup
    -0.58
    ngdoc
    -0.54
     censo
    -0.53
    enumii
    -0.52
    fillType
    -0.50
     незавершена
    -0.50
    orti
    -0.50
    fastjson
    -0.49
    POSITIVE LOGITS
     motorcycle
    1.31
     Motorcycle
    1.22
     motorcycles
    1.16
     motorbike
    1.16
    Motorcycle
    1.12
    motorcycle
    1.08
     Ducati
    1.02
     Motorrad
    1.02
     Motorcycles
    0.99
     bikers
    0.95
    Activations Density 0.203%

    No Known Activations