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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 28-GEMMASCOPE-RES-16K
    6. 4043
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    INDEX
    Explanations

    words related to riding or related activities

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

    Activity involving bikes, horses, or wheeled transport

    np_acts-logits-general · gemini-2.0-flash

    riding and cycling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MLLoader
    -0.41
    AutoScaleMode
    -0.40
     désolés
    -0.39
     AllMovie
    -0.37
    gouv
    -0.37
     gesetz
    -0.37
     Cahill
    -0.36
    SharedDtor
    -0.35
    Calais
    -0.35
     Marlow
    -0.34
    POSITIVE LOGITS
     riding
    1.33
     ride
    1.24
     rider
    1.23
     bike
    1.20
     riders
    1.17
     Riding
    1.16
     rides
    1.16
     bikes
    1.14
     bicycle
    1.12
    Riding
    1.11
    Activations Density 0.138%

    No Known Activations