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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 7475
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    Explanations

    references to specific car models and brands, particularly Peugeot, along with associated performance and design attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.40
     dokumenta
    -0.35
    proken
    -0.32
     Unterscheidung
    -0.31
     grounds
    -0.31
     slaap
    -0.31
     voork
    -0.31
    elesaikan
    -0.30
     Kriterien
    -0.30
     juta
    -0.29
    POSITIVE LOGITS
     Nissan
    0.86
     Toyota
    0.84
     Chevrolet
    0.81
    Nissan
    0.79
     Ford
    0.77
     Hyundai
    0.77
    Chevrolet
    0.76
    atsun
    0.75
     Volkswagen
    0.72
    Toyota
    0.72
    Activations Density 0.293%

    No Known Activations