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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. 5635
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    Explanations

    names of car manufacturers and models

    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
    ThemeOverlay
    -0.43
    ertor
    -0.42
     vettor
    -0.41
    ondissement
    -0.39
     Mala
    -0.39
    Hentet
    -0.37
     Мексичка
    -0.37
     miele
    -0.36
     HCI
    -0.35
    OWA
    -0.34
    POSITIVE LOGITS
     Nissan
    0.82
     nissan
    0.77
    Nissan
    0.72
    nissan
    0.68
     surla
    0.63
     Paglinawan
    0.60
    :✨
    0.56
     qashqai
    0.54
     ویکی‌پدی
    0.53
     Skyline
    0.51
    Activations Density 0.234%

    No Known Activations