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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 1744
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    Explanations

    terms related to dining and culinary experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.86
    RegressionTest
    -0.85
     propellant
    -0.80
     "..\..\..\
    -0.80
    openSession
    -0.78
    Scénario
    -0.78
    bewerken
    -0.78
    NullCheck
    -0.77
    最快更新
    -0.77
    RenderAtEndOf
    -0.77
    POSITIVE LOGITS
     dining
    1.60
     Dining
    1.50
    Dining
    1.49
    dining
    1.41
     dine
    1.22
     dined
    1.11
    Dine
    1.10
     Dine
    1.02
     DIN
    0.97
     Ă
    0.81
    Activations Density 0.054%

    No Known Activations