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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 10575
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    Explanations

    references to canned food items and related cooking terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stateProvider
    -0.41
     EconPapers
    -0.41
     चीज़ों
    -0.39
     personnalisée
    -0.38
    DoubleQuotes
    -0.38
    पया
    -0.37
     Existenz
    -0.37
     koszulka
    -0.36
     distância
    -0.36
     genü
    -0.36
    POSITIVE LOGITS
     Canned
    0.90
     canned
    0.87
     cans
    0.73
     canning
    0.69
     tins
    0.60
     Cans
    0.59
     latas
    0.58
     tuna
    0.56
     Tuna
    0.54
     Canning
    0.54
    Activations Density 0.234%

    No Known Activations