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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 15396
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    INDEX
    Explanations

    names and details of individuals, especially related to their nationality or profession

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

    Nationalities or origins of people

    np_acts-logits-general · gemini-2.0-flash

    person's nationality

    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
    copg
    -0.49
     muze
    -0.45
    ſchen
    -0.45
     Serikat
    -0.44
    nameof
    -0.44
    ähteet
    -0.44
    niksi
    -0.43
    Parallel
    -0.43
     murales
    -0.43
    heitsbild
    -0.42
    POSITIVE LOGITS
     Canadian
    1.25
     Australian
    1.17
     Malaysian
    1.11
     Italian
    1.10
     Japanese
    1.10
     British
    1.09
     Vietnamese
    1.09
     Pakistani
    1.07
     Swedish
    1.06
     Brazilian
    1.06
    Activations Density 0.728%

    No Known Activations