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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. 15684
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    Explanations

    references to specific vehicle models and their associated safety issues

    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
     Florence
    -0.77
     Arno
    -0.74
     Toscana
    -0.72
     Simpson
    -0.71
     Bernard
    -0.71
     Kyoto
    -0.70
     Kitz
    -0.68
     Falmouth
    -0.67
     Volcano
    -0.66
    Florence
    -0.66
    POSITIVE LOGITS
     GM
    1.45
     Chevrolet
    1.34
    GM
    1.27
    Chevrolet
    1.24
     Chevy
    1.21
     Opel
    1.15
     gm
    1.08
     chevrolet
    1.04
     Buick
    1.02
    Opel
    1.02
    Activations Density 0.926%

    No Known Activations