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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10490
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    INDEX
    Explanations

    concepts related to attraction and appeal, especially in the context of experiences and consumer products

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

    followed by "to" related to attraction

    np_acts-logits-general · gemini-2.0-flash

    attract and entice

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
     nahilalakip
    -0.61
    ectoria
    -0.59
    IContainer
    -0.59
    atchewan
    -0.56
    (!__
    -0.52
     honte
    -0.52
     imprimée
    -0.52
     الحره
    -0.51
     solidarité
    -0.51
    vacy
    -0.50
    POSITIVE LOGITS
     lure
    1.80
     attract
    1.68
     allure
    1.64
     entice
    1.63
     attraction
    1.63
     enticing
    1.61
     appeal
    1.59
     attracts
    1.59
     attracting
    1.56
     lured
    1.55
    Activations Density 0.294%

    No Known Activations