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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10189
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    Explanations

    references to beer and its consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ミング
    -0.42
     violin
    -0.39
     rheumat
    -0.35
     Parke
    -0.35
    batim
    -0.35
     dolgo
    -0.34
     Chamberlain
    -0.34
     Türkei
    -0.34
    PickerController
    -0.34
     Mathem
    -0.34
    POSITIVE LOGITS
     beer
    1.91
     Beer
    1.64
     beers
    1.63
    Beer
    1.63
     brewery
    1.60
     breweries
    1.53
    beer
    1.52
     brewers
    1.52
     BEER
    1.44
     brew
    1.43
    Activations Density 0.146%

    No Known Activations