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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7899
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    references related to veterinary conditions and practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zian
    -0.44
    awtextra
    -0.43
     disambiguazione
    -0.42
    roland
    -0.42
    ublik
    -0.42
    rungsseite
    -0.41
     Reaction
    -0.41
     Schlä
    -0.40
    automat
    -0.40
    swar
    -0.40
    POSITIVE LOGITS
     veterinarians
    0.73
     veterinarian
    0.72
     veterinary
    0.71
     veterin
    0.69
     veterinario
    0.67
     vétérina
    0.63
    Veter
    0.63
     Veterinary
    0.62
     Veterin
    0.60
     dogs
    0.60
    Activations Density 0.265%

    No Known Activations