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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6808
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    mentions of popular retail brands and consumer products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lokales
    -0.42
     Handwerk
    -0.41
     Мексичка
    -0.39
     <=",
    -0.37
     junge
    -0.36
    niña
    -0.36
     Gespräche
    -0.35
     użytk
    -0.35
    Essentially
    -0.35
     Verantwortung
    -0.35
    POSITIVE LOGITS
     EconPapers
    0.50
    Попис
    0.50
     Autorizaciones
    0.49
     dAtA
    0.47
    puff
    0.46
     IOError
    0.46
     Taktlose
    0.45
     Enlarge
    0.45
    Bromoform
    0.45
    recy
    0.44
    Activations Density 0.417%

    No Known Activations