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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 34-GEMMASCOPE-RES-16K
    6. 7976
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    terms related to wildlife and nature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CppCodeGen
    -0.40
     tủ
    -0.36
    lioni
    -0.35
    objPHPExcel
    -0.34
    bzero
    -0.33
    COHOL
    -0.32
    levance
    -0.32
    htdocs
    -0.31
    沿革
    -0.30
    옥
    -0.30
    POSITIVE LOGITS
     wildlife
    1.08
     sightings
    1.04
     spotting
    0.98
    wildlife
    0.93
     sighting
    0.89
    Wildlife
    0.88
     WILDLIFE
    0.85
     spotted
    0.85
     Wildlife
    0.85
     naturalist
    0.84
    Activations Density 0.266%

    No Known Activations