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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 7839
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    Explanations

    phrases related to earning or gaining something, particularly in contexts involving monetary or material rewards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ब्रेकडाउन
    -0.69
    principalTable
    -0.66
    ndose
    -0.55
    PreferredItem
    -0.55
    ⓧ
    -0.54
     الرياضيه
    -0.52
     correta
    -0.51
    :+:
    -0.50
     propOrder
    -0.50
     leão
    -0.49
    POSITIVE LOGITS
     earn
    0.82
     Earn
    0.79
    Earn
    0.75
    Gan
    0.71
     gan
    0.71
     Gan
    0.71
     earns
    0.66
     earnings
    0.66
     JavaScript
    0.65
    earn
    0.64
    Activations Density 0.215%

    No Known Activations