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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 13719
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    references to professional sports players and their careers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     JpaRepository
    -0.36
     onAnimation
    -0.33
     setia
    -0.29
    iNdEx
    -0.27
     pihaknya
    -0.26
    épar
    -0.26
     CreateTagHelper
    -0.25
     pluie
    -0.25
     münd
    -0.24
    攒
    -0.24
    POSITIVE LOGITS
     professional
    3.88
    professional
    3.48
     Professional
    3.42
     profesional
    3.31
    Professional
    3.25
     professionally
    3.13
     PROFESSIONAL
    3.03
     professionnel
    3.00
     профессиона
    2.88
    PROFESSIONAL
    2.83
    Activations Density 0.470%

    No Known Activations