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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. 14797
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    Explanations

    references to types of motor vehicles

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

    preceding "vehicle" or "car"

    np_acts-logits-general · gemini-2.0-flash

    motor vehicle, motor lodge, motor boat

    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
    WebVitals
    -0.70
    Lähteet
    -0.63
    хьтан
    -0.63
    קישורים
    -0.61
    verständlich
    -0.60
     myſelf
    -0.60
    WSGI
    -0.59
    XmlEnum
    -0.59
    httphttps
    -0.59
    /−
    -0.58
    POSITIVE LOGITS
    ized
    0.71
    home
    0.66
    sports
    0.62
     Motor
    0.59
     neuron
    0.59
     vehicle
    0.58
     motor
    0.58
    homes
    0.57
    Hom
    0.57
    motor
    0.57
    Activations Density 0.100%

    No Known Activations