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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 9098
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    Explanations

    references to driving or connected concepts related to motion and transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_10/width_16k/average_l0_77
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     olympique
    -0.78
     Pronto
    -0.78
     McNamara
    -0.75
     neuf
    -0.73
     bancaire
    -0.73
     inferiore
    -0.73
     Orton
    -0.73
     Newberry
    -0.72
     escolares
    -0.72
     McManus
    -0.72
    POSITIVE LOGITS
     drives
    1.80
     Drive
    1.63
     Drives
    1.63
     drive
    1.63
    drives
    1.56
     DRIVE
    1.56
    Drive
    1.56
    drive
    1.53
    DRIVE
    1.49
     driving
    1.37
    Activations Density 0.066%

    No Known Activations