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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 8080
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    Explanations

    references to mountains or mountainous terrain

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

    following "mountain" or "mountains"

    np_acts-logits-general · gemini-2.0-flash

    mountain towns regions ranges

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     InputDecoration
    -0.79
    Geplaatst
    -0.72
     nonatomic
    -0.71
    setVerticalGroup
    -0.69
    tanleria
    -0.67
    homonymie
    -0.66
    躇
    -0.66
    InputBorder
    -0.64
    ftagPool
    -0.64
    ttino
    -0.64
    POSITIVE LOGITS
    side
    0.77
    top
    0.72
    tops
    0.64
     region
    0.63
    TOP
    0.59
     regions
    0.58
     range
    0.57
     peaks
    0.56
    region
    0.54
     ranges
    0.53
    Activations Density 0.095%

    No Known Activations