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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. 191
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    Explanations

    references to outdoor recreational activities and natural locations

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

    hiking, huts, and forests

    np_acts-logits-general · gemini-2.0-flash

    places for hikers

    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
     city
    -0.34
     ciudad
    -0.34
     EMEA
    -0.32
     cities
    -0.32
     arras
    -0.31
     neón
    -0.30
     neto
    -0.30
     avenir
    -0.29
     Wallflower
    -0.29
     technology
    -0.28
    POSITIVE LOGITS
     hiked
    0.98
     hike
    0.94
     hikers
    0.93
     hiking
    0.90
     hiker
    0.84
     hikes
    0.80
     Hiking
    0.79
     climbers
    0.77
     Hike
    0.77
    hike
    0.76
    Activations Density 0.270%

    No Known Activations