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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 13375
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    Explanations

    references to goods and freight transport

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bibfield
    -0.57
     pinulongan
    -0.54
     actualidad
    -0.51
    İstinadlar
    -0.50
     orígenes
    -0.49
     meisten
    -0.48
    ToUse
    -0.48
     cielos
    -0.47
    Viited
    -0.47
     ingeniería
    -0.47
    POSITIVE LOGITS
     goederen
    0.75
     goods
    0.69
     Goods
    0.65
    Goods
    0.59
     marchandises
    0.59
    goods
    0.58
     Cargo
    0.56
     particles
    0.56
    rubin
    0.54
    Cargo
    0.53
    Activations Density 1.359%

    No Known Activations