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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 3045
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    Explanations

    references to vehicles and their functionalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/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.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kysy
    -0.82
     supersonic
    -0.81
    MemoryWarning
    -0.80
    AndPassword
    -0.79
     scallop
    -0.78
     Gow
    -0.77
     decompression
    -0.77
    jątk
    -0.76
     Lovel
    -0.76
     EIR
    -0.72
    POSITIVE LOGITS
     vehicle
    1.12
     Vehicle
    1.10
     VEHICLE
    1.07
     vehicles
    1.06
    Vehicle
    1.01
    vehicle
    0.96
     Vehicles
    0.92
     vehic
    0.90
    VEHICLE
    0.90
     instrument
    0.88
    Activations Density 0.082%

    No Known Activations