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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7189
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    INDEX
    Explanations

    references to vehicle types and their specifications

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

    Chevrolet, GMC, and Ford trucks/pickups

    np_acts-logits-general · gemini-2.0-flash

    trucks and vehicle models

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.77
     ujednoznacz
    -0.77
    featureID
    -0.70
     <=",
    -0.68
    rungsseite
    -0.63
    AndEndTag
    -0.63
    ValueStyle
    -0.61
    Hentet
    -0.60
     Shetterly
    -0.58
     xoay
    -0.58
    POSITIVE LOGITS
     pickup
    0.80
    pickup
    0.69
     pickups
    0.68
     truck
    0.66
     pick
    0.65
     bed
    0.64
     PICK
    0.60
     Pickup
    0.59
    bed
    0.58
     Silverado
    0.57
    Activations Density 0.126%

    No Known Activations