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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 13279
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    Explanations

    references to vehicles and their descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     picioare
    -0.43
    hyrchwyd
    -0.41
     Reised
    -0.40
     lebaran
    -0.39
     dictadura
    -0.39
    rungsseite
    -0.36
     hierba
    -0.36
    Referințe
    -0.36
     estekak
    -0.35
     henkil
    -0.35
    POSITIVE LOGITS
     BMW
    1.34
     Honda
    1.31
     Nissan
    1.29
     Toyota
    1.28
     Audi
    1.26
     Ford
    1.26
     Subaru
    1.23
     Mercedes
    1.22
     Chevrolet
    1.20
     Mazda
    1.20
    Activations Density 0.315%

    No Known Activations