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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 24-GEMMASCOPE-RES-16K
    6. 5947
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    INDEX
    Explanations

    elements related to biking and trail conditions

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

    Biking and related terms

    np_acts-logits-general · gemini-2.0-flash

    bike, cycling, and paths

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bootstrapcdn
    -0.71
     autorytatywna
    -0.68
     &___
    -0.67
    AutoScaleMode
    -0.66
    GEBURTS
    -0.65
    oredCriteria
    -0.64
     Exacts
    -0.64
     nahilalakip
    -0.63
    addCriterion
    -0.63
    ſelf
    -0.62
    POSITIVE LOGITS
     bike
    1.19
     rider
    1.12
     bikes
    1.07
     riders
    1.06
     bicycle
    0.99
     motorcycle
    0.98
     Bike
    0.98
    bike
    0.97
     riding
    0.93
     Riders
    0.92
    Activations Density 0.525%

    No Known Activations