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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 5790
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    Explanations

    terms related to the mechanisms and operations of material handling equipment like forklifts and trucks

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

    warehouses and inventory

    np_acts-logits-general · gemini-2.0-flash

    conventional methods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_20/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Хьажоргаш
    -0.69
     cherchés
    -0.57
    LookAnd
    -0.54
    Referencie
    -0.51
     Braid
    -0.51
     braid
    -0.50
    Precalculus
    -0.49
    uments
    -0.49
     escrow
    -0.48
     Micho
    -0.48
    POSITIVE LOGITS
     warehouse
    1.14
     Warehouse
    1.02
     forklift
    1.00
     warehousing
    0.93
     warehouses
    0.92
     pallet
    0.89
     WARE
    0.88
    Warehouse
    0.88
     Pallet
    0.84
     Inventory
    0.84
    Activations Density 0.091%

    No Known Activations