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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 95530
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    INDEX
    Explanations

    references to generational labels and cultural identities

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

    millennial and hippie

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Not in Any Lists

    No Comments

    Negative Logits
    addPreferredGap
    -0.49
     ролях
    -0.40
    pumpe
    -0.40
    kapnya
    -0.39
     setDescription
    -0.38
     vtk
    -0.37
     pump
    -0.36
    {§
    -0.36
    ¿½
    -0.36
     test
    -0.34
    POSITIVE LOGITS
     millennials
    1.81
     millennial
    1.70
     Millennials
    1.63
    ennial
    1.12
    ennials
    1.05
     hipster
    0.76
    enial
    0.69
     youthful
    0.64
     geração
    0.63
     génération
    0.63
    Activations Density 0.002%

    No Known Activations