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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1798
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    Explanations

    references to incidents involving boats or maritime activities

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

    Followed by a verb indicating motion or transportation

    np_acts-logits-general · gemini-2.0-flash

    locations, vehicles, or entities and their actions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Walkover
    -0.67
     Aviation
    -0.66
    sizeCache
    -0.65
     aviation
    -0.65
     shipbuilding
    -0.63
     airplane
    -0.61
    Airplane
    -0.59
     airplanes
    -0.59
     Airplane
    -0.58
     חיצוניים
    -0.58
    POSITIVE LOGITS
     carrying
    0.73
     heading
    0.68
    脚注の使い方
    0.61
     escol
    0.60
     parked
    0.58
     sighted
    0.57
     circling
    0.56
     Carrying
    0.56
     headed
    0.55
    DoubleQuotes
    0.54
    Activations Density 0.272%

    No Known Activations