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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. 13542
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    INDEX
    Explanations

    references to health and lifestyle, particularly focusing on the concept of being healthy

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

    health and unhealth

    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
    Negative Logits
    tagHelperRunner
    -0.46
    contentLoaded
    -0.43
     couvre
    -0.43
     ujednoznacz
    -0.41
     vectorielle
    -0.41
     незавершена
    -0.40
    那样
    -0.39
    KURZBESCHREIBUNG
    -0.38
     Ewig
    -0.38
    hbs
    -0.36
    POSITIVE LOGITS
    Healthy
    1.08
     healthy
    1.07
    healthy
    1.00
     Healthy
    0.93
     saudável
    0.85
     unhealthy
    0.85
     healthiest
    0.80
     gesunde
    0.78
     saludable
    0.76
     healthier
    0.75
    Activations Density 0.016%

    No Known Activations