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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3962
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    specific brand names and product identifiers, particularly related to technology and sporting goods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vernunft
    -0.39
     célè
    -0.38
    wußt
    -0.37
     sendok
    -0.36
     Zahlungs
    -0.36
     overras
    -0.36
     Hauptstadt
    -0.36
     kelahiran
    -0.35
     récit
    -0.35
     Substanz
    -0.35
    POSITIVE LOGITS
    featureID
    0.65
     nahilalakip
    0.63
     betweenstory
    0.58
    ®
    0.56
    
    0.55
     StatefulWidget
    0.54
    invokeLater
    0.54
    tagHelperRunner
    0.52
    AccessorTable
    0.52
    AISSEE
    0.51
    Activations Density 0.339%

    No Known Activations