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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 3556
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    Explanations

    references to riders and various types of bicycles and motorcycles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rhestr
    -0.52
     snippetHide
    -0.44
    astanza
    -0.44
    脚注の使い方
    -0.38
    исленность
    -0.38
    IntoConstraints
    -0.38
    MeasureSpec
    -0.38
    Jîn
    -0.38
    oredCriteria
    -0.37
    WarningLevel
    -0.35
    POSITIVE LOGITS
     rider
    2.38
     riders
    2.28
     riding
    2.14
     Riders
    2.03
     Rider
    2.02
     Riding
    2.02
    Rider
    1.97
    Riding
    1.94
    rider
    1.86
    riding
    1.70
    Activations Density 0.269%

    No Known Activations