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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 7752
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    Explanations

    references to vehicle components and their functionality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    writeFieldEnd
    -0.59
    Życiorys
    -0.58
    Personensuche
    -0.56
     decreto
    -0.47
     blij
    -0.46
     LEYENDO
    -0.46
     vehicles
    -0.46
     Malt
    -0.46
    cars
    -0.46
     Finley
    -0.46
    POSITIVE LOGITS
     suspension
    0.99
     brakes
    0.96
     Suspension
    0.86
     suspensions
    0.85
     Brakes
    0.81
    Suspension
    0.79
    suspension
    0.79
     transmission
    0.79
     windshield
    0.77
     radiator
    0.77
    Activations Density 0.327%

    No Known Activations