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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 3957
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    Explanations

    references to beer and alcoholic beverages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gouv
    -0.48
    tisseur
    -0.46
     <<<<<<<<<<<<<<
    -0.45
     pauvreté
    -0.45
    ěry
    -0.45
     pobreza
    -0.44
    uurs
    -0.44
    nyataan
    -0.43
    ulipas
    -0.43
     gavetas
    -0.43
    POSITIVE LOGITS
     beer
    1.20
    Beer
    0.97
     Beer
    0.94
     beers
    0.94
     BEER
    0.89
    beer
    0.88
     brewery
    0.87
     breweries
    0.86
     bière
    0.84
     пиво
    0.84
    Activations Density 0.082%

    No Known Activations