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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. 1300
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    Explanations

    references to mountains and elevated landforms

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

    "mountain"

    np_acts-logits-general · gemini-2.0-flash

    mountain

    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
    #--
    -0.37
     FetchType
    -0.37
     brille
    -0.36
    Thief
    -0.35
    tagHelperRunner
    -0.35
    Hauptartikel
    -0.34
    躇
    -0.33
    Boeing
    -0.33
     Hecht
    -0.32
    فو
    -0.32
    POSITIVE LOGITS
     Mountain
    0.72
    Mountain
    0.71
     River
    0.69
    imageshack
    0.68
     Island
    0.66
     island
    0.65
    River
    0.65
     MOUNTAIN
    0.65
    Island
    0.63
     mountain
    0.63
    Activations Density 0.327%

    No Known Activations