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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3827
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    Explanations

    references to livestock and agricultural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Obrador
    -0.57
     Orgel
    -0.48
    daß
    -0.46
     Paglinawan
    -0.44
     Duomo
    -0.43
    zaamheid
    -0.42
    ürtel
    -0.41
    pozdrawiam
    -0.41
     Grin
    -0.40
     Erfurt
    -0.40
    POSITIVE LOGITS
     cattle
    1.02
     livestock
    0.94
     horses
    0.89
     Cattle
    0.83
     cows
    0.83
     horse
    0.81
     Livestock
    0.81
     animals
    0.79
    cattle
    0.79
    Cattle
    0.77
    Activations Density 0.390%

    No Known Activations