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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5707
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    Explanations

    terms related to motors and motor vehicles

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

    ending with "or" related to vehicles or machines

    np_acts-logits-general · gemini-2.0-flash

    motor vehicle

    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
     LeBlanc
    -0.49
     Clique
    -0.48
    รู้
    -0.47
    頃に
    -0.47
    sé
    -0.46
    me
    -0.46
     Jiménez
    -0.46
    Neues
    -0.46
     Witte
    -0.45
    ensee
    -0.45
    POSITIVE LOGITS
    ror
    0.79
    stor
    0.78
    otor
    0.74
    ctor
    0.73
    lor
    0.71
    or
    0.70
    isor
    0.69
    tor
    0.68
    istor
    0.68
    itor
    0.68
    Activations Density 0.526%

    No Known Activations