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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5686
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    Explanations

    references to lunch and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ècie
    -0.49
    wachsene
    -0.42
    AccessorTable
    -0.40
     виправивши
    -0.39
     coverage
    -0.38
    rawValue
    -0.37
     anf
    -0.35
     resourceCulture
    -0.34
    kapnya
    -0.33
    sizeof
    -0.33
    POSITIVE LOGITS
     lunch
    1.21
     Dinner
    1.14
     dinner
    1.12
     Lunch
    1.09
    Dinner
    1.08
    lunch
    1.07
    Lunch
    1.07
     DINNER
    1.05
    dinner
    1.02
     LUNCH
    0.97
    Activations Density 0.213%

    No Known Activations