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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 6345
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    Explanations

    references to shopping and items commonly found in a shopping context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    carrying or hauling items

    np_acts-logits-general · gemini-2.0-flash

    carrying objects or luggage

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     private
    -0.49
     cementerio
    -0.46
    Private
    -0.45
     Private
    -0.45
     Biel
    -0.44
    hone
    -0.43
    risto
    -0.42
     Colección
    -0.42
    Clock
    -0.42
    tifik
    -0.42
    POSITIVE LOGITS
     wheeled
    1.11
     carrying
    1.03
     Carrying
    1.02
     carry
    1.01
    Carrying
    0.95
     Carry
    0.94
     CARRY
    0.94
    carrying
    0.93
     trailer
    0.91
     dolly
    0.90
    Activations Density 0.149%

    No Known Activations