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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 10768
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    Explanations

    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 @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exist
    -0.38
    Geschichte
    -0.33
     Internal
    -0.32
     –
    -0.32
    存在
    -0.31
     Bowman
    -0.30
      
    -0.30
    レーン
    -0.30
    ernen
    -0.30
     internal
    -0.30
    POSITIVE LOGITS
     sandwiches
    0.67
     lunch
    0.65
     breakfast
    0.62
     barbecue
    0.61
     barbe
    0.61
     meals
    0.60
     snacks
    0.59
    aarrggbb
    0.59
     cooked
    0.58
     lunches
    0.57
    Activations Density 0.139%

    No Known Activations