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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 40-GEMMASCOPE-RES-16K
    6. 1978
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    Explanations

    names of athletes and their performance statistics in competitive sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Infórmanos
    -0.58
    Personendaten
    -0.54
     المعيارى
    -0.50
     PeEnEo
    -0.47
    Kanpo
    -0.47
     Мексичка
    -0.47
     estekak
    -0.47
     protoimpl
    -0.46
     linkovi
    -0.45
    تقاوى
    -0.45
    POSITIVE LOGITS
     finishing
    1.05
     finish
    1.01
     placing
    1.00
     finished
    0.96
     finishes
    0.95
     finisher
    0.91
     placed
    0.91
     runner
    0.90
     narrowly
    0.88
     Placing
    0.84
    Activations Density 0.217%

    No Known Activations