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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7738
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    Explanations

    terms related to livestock, particularly cattle, in veterinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Heller
    -0.41
     Dortmund
    -0.41
     Winkler
    -0.40
     Weiss
    -0.39
     Wong
    -0.39
     Horowitz
    -0.39
     Conway
    -0.38
     Irwin
    -0.38
    RootElement
    -0.38
     sympy
    -0.37
    POSITIVE LOGITS
     cattle
    2.59
     cows
    2.33
     Cattle
    2.31
    Cattle
    2.27
    cattle
    2.23
     cow
    2.22
     sheep
    2.06
     Cows
    2.05
     livestock
    1.95
     Sheep
    1.92
    Activations Density 0.207%

    No Known Activations