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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. 1540
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    Explanations

    specific measurements and quantities related to cooking ingredients

    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
    Not in Any Lists

    No Comments

    Negative Logits
     AssemblyProduct
    -0.49
    SharedDtor
    -0.49
    DIPSETTING
    -0.48
    Rohy
    -0.48
     CCR
    -0.47
    prüche
    -0.47
     ModelRenderer
    -0.47
    actionMode
    -0.45
    multip
    -0.44
    hared
    -0.44
    POSITIVE LOGITS
     tablespoon
    0.84
     spoonful
    0.81
     teaspoon
    0.81
     spoon
    0.79
     cup
    0.72
     tablespoons
    0.72
     cucharadas
    0.67
     tbsp
    0.67
     scoop
    0.66
     Tables
    0.62
    Activations Density 0.135%

    No Known Activations