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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 9891
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    INDEX
    Explanations

    references to choices and options in decision-making contexts

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

    cars, driving, or vehicles

    np_acts-logits-general · gemini-2.0-flash

    driving and vehicles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    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
    -0.44
    wnia
    -0.39
     partecipazione
    -0.38
    <?
    -0.37
     пришли
    -0.37
     artesan
    -0.35
    Upstairs
    -0.35
    kań
    -0.34
    quias
    -0.34
    BRL
    -0.33
    POSITIVE LOGITS
     driving
    1.91
     Driving
    1.82
    Driving
    1.73
     driver
    1.72
    driving
    1.66
     drivers
    1.63
     Drivers
    1.56
     Driver
    1.55
     motorists
    1.45
    Drivers
    1.44
    Activations Density 0.739%

    No Known Activations