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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 3646
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    Explanations

    references to chefs and kitchens

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Púb
    -0.47
    prompt
    -0.47
     Whitley
    -0.46
    登
    -0.45
    adpleegd
    -0.45
     Popp
    -0.44
     klaar
    -0.44
     appointment
    -0.44
    ódó
    -0.43
    ount
    -0.42
    POSITIVE LOGITS
     culinary
    1.13
     chefs
    1.06
     chef
    1.03
     Chef
    0.97
     cuisine
    0.96
     herb
    0.95
    Chef
    0.90
     kitchens
    0.88
     kitchen
    0.87
     herbs
    0.84
    Activations Density 0.039%

    No Known Activations