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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. 7812
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    INDEX
    Explanations

    elements related to physical challenges and endurance activities

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

    running

    np_acts-logits-general · gemini-2.0-flash

    running and racing activities

    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
     desmotivaciones
    -0.50
     kasarigan
    -0.50
     linkovi
    -0.50
     AssemblyTitle
    -0.48
     disambiguazione
    -0.48
     ujednoznacz
    -0.46
     ModelExpression
    -0.45
    脚注の使い方
    -0.42
     odkazy
    -0.41
     licencias
    -0.41
    POSITIVE LOGITS
     runners
    0.86
     jogging
    0.85
     marathon
    0.83
     endurance
    0.82
     runner
    0.81
     Runners
    0.78
     Strava
    0.77
     Marathon
    0.76
     triathlon
    0.73
     hiking
    0.71
    Activations Density 0.219%

    No Known Activations