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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 4036
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    references to conservation areas and national parks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     arquitect
    -0.33
     negocios
    -0.33
     lantai
    -0.30
     business
    -0.30
     Economía
    -0.30
    Glej
    -0.29
    CGFloat
    -0.29
    uanto
    -0.28
     vapeur
    -0.28
    coration
    -0.28
    POSITIVE LOGITS
     conservation
    0.98
    conservation
    0.95
    Conservation
    0.92
     Conservation
    0.91
    wildlife
    0.84
     ecologically
    0.81
     wildlife
    0.80
     habitat
    0.75
     estekak
    0.74
     CONSERVATION
    0.74
    Activations Density 0.375%

    No Known Activations