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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 11542
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    Explanations

    references to motorcycles and specific motorcycle brands and models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    setVerticalGroup
    -0.76
     initComponents
    -0.63
    WireFormatLite
    -0.60
    ngdoc
    -0.60
    ']?>
    -0.57
     resourceCulture
    -0.57
    Kilder
    -0.56
    fillType
    -0.56
    
    -0.55
    postsleuth
    -0.55
    POSITIVE LOGITS
     motorcycle
    1.07
     motorcycles
    1.00
     Motorcycle
    0.99
    Motorcycle
    0.95
     bike
    0.94
     motorbike
    0.94
     Ducati
    0.89
     bikes
    0.88
    motorcycle
    0.86
     Motorcycles
    0.86
    Activations Density 0.392%

    No Known Activations