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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 4631
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    INDEX
    Explanations

    references to vehicle specifications and recalls

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

    Car models and specifications

    np_acts-logits-general · gemini-2.0-flash

    SUV models and options

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.70
     defaultstate
    -0.67
    Personendaten
    -0.62
     betweenstory
    -0.60
    exitRule
    -0.58
     navideño
    -0.58
     mochilas
    -0.57
    AccessorTable
    -0.55
     Bewußt
    -0.54
     OFDb
    -0.53
    POSITIVE LOGITS
     car
    0.60
     cars
    0.59
     automaker
    0.58
     automobile
    0.54
     chassis
    0.53
     dealerships
    0.53
     vehicle
    0.52
     driving
    0.51
     auto
    0.51
     dealership
    0.51
    Activations Density 0.410%

    No Known Activations