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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. 3876
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    Explanations

    phrases related to incentives and compelling offers

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

    Incentives and enticements

    np_acts-logits-general · gemini-2.0-flash

    incentive and attraction

    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
     ModelExpression
    -0.53
    addContainerGap
    -0.49
    Geplaatst
    -0.48
     onCancelled
    -0.47
     itſelf
    -0.46
     myſelf
    -0.44
    StructEnd
    -0.44
    TagMode
    -0.43
     leaft
    -0.43
     Houſe
    -0.42
    POSITIVE LOGITS
     incentive
    0.98
     attract
    0.94
     enticing
    0.93
     attracting
    0.91
     entice
    0.90
    吸引
    0.90
     incentiv
    0.86
     attraction
    0.85
     lure
    0.84
     incentives
    0.84
    Activations Density 0.473%

    No Known Activations