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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10658
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    terms related to dietary diversity and micronutrient intake

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atorship
    -0.49
    radio
    -0.44
     Alipay
    -0.43
     Boeing
    -0.42
    rousel
    -0.42
    utro
    -0.41
    Demografie
    -0.41
     transcriptional
    -0.41
    advertising
    -0.41
    GoogleApiClient
    -0.41
    POSITIVE LOGITS
     vegetables
    1.51
     fruits
    1.49
     fruit
    1.30
     vegetable
    1.20
     veggies
    1.20
     Fruits
    1.14
     frutas
    1.12
     Vegetables
    1.11
     herbs
    1.08
     frutta
    1.08
    Activations Density 0.443%

    No Known Activations