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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. 6403
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    references to veterinary conditions and specific animal species, particularly cattle and sheep

    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
     lenker
    -0.60
    Chham
    -0.54
    verwijspagina
    -0.52
     Orgel
    -0.50
    Vidite
    -0.49
     Roskov
    -0.45
     SEN
    -0.45
    riche
    -0.45
    IUrlHelper
    -0.44
    urora
    -0.44
    POSITIVE LOGITS
     cattle
    1.21
     Cattle
    1.10
     cows
    1.03
    Cattle
    1.01
    cattle
    0.98
     livestock
    0.98
     sheep
    0.91
     Livestock
    0.90
     Sheep
    0.86
     Cows
    0.83
    Activations Density 0.148%

    No Known Activations