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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13352
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    INDEX
    Explanations

    references to younger generations, particularly millennials

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    millennials, youth, and young people

    np_acts-logits-general · gemini-2.0-flash

    millennials and young people

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    mtrl
    -0.61
    msgTypes
    -0.44
    atás
    -0.43
     CIF
    -0.37
     antaranya
    -0.35
    MATERIALS
    -0.35
     Materials
    -0.35
     materiales
    -0.34
    ensions
    -0.34
    Materials
    -0.33
    POSITIVE LOGITS
     youth
    1.11
     young
    1.09
     millennials
    0.99
    youth
    0.97
     youthful
    0.96
     Millennials
    0.93
    young
    0.93
    Youth
    0.93
     jeunes
    0.92
     YOUTH
    0.92
    Activations Density 0.273%

    No Known Activations