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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 5825
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    elements related to breakfast preparation and morning routines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enumi
    -0.45
    <bos>
    -0.45
    traje
    -0.44
     (
    -0.41
    เห
    -0.41
    ͍
    -0.40
    累
    -0.39
     penanganan
    -0.39
     relative
    -0.38
     luk
    -0.38
    POSITIVE LOGITS
     breakfast
    0.96
     breakfasts
    0.95
    Breakfast
    0.93
    breakfast
    0.93
     Breakfast
    0.92
    bijt
    0.89
     desayuno
    0.79
     Frühstück
    0.79
    CodedInputStream
    0.76
     pancakes
    0.75
    Activations Density 0.117%

    No Known Activations