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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 8800
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    references to food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     gjø
    -0.34
     ministerio
    -0.34
     politiet
    -0.33
     ditemp
    -0.33
     bertanggung
    -0.33
     syke
    -0.33
     tillegg
    -0.33
     مباش
    -0.32
     çe
    -0.30
     poved
    -0.30
    POSITIVE LOGITS
     dinner
    2.66
     lunch
    2.48
     Dinner
    2.23
    Dinner
    2.22
    dinner
    2.19
     breakfast
    2.13
     dinners
    2.09
     DINNER
    2.08
     supper
    2.06
    lunch
    2.06
    Activations Density 0.248%

    No Known Activations