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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. 10510
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    Explanations

    references to experience and expertise in various fields

    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
     Alder
    -0.39
     MotionEvent
    -0.39
    letoe
    -0.38
    ductor
    -0.38
     goose
    -0.37
     poke
    -0.37
    pant
    -0.36
     eaters
    -0.36
    enumi
    -0.36
     Scr
    -0.35
    POSITIVE LOGITS
     experience
    1.02
     pengalaman
    0.90
     experiência
    0.90
    Experience
    0.88
     experiencia
    0.88
    experience
    0.88
     Experience
    0.87
     expérience
    0.86
     Erfahrung
    0.86
    经验
    0.86
    Activations Density 0.102%

    No Known Activations