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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. 5805
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    Explanations

    references to various types of nuts and their uses in food

    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
     gradient
    -0.36
    bebasan
    -0.36
     Hib
    -0.35
     TPP
    -0.35
    ího
    -0.33
     tomato
    -0.31
    gradient
    -0.30
     injection
    -0.30
    inkt
    -0.30
    libft
    -0.30
    POSITIVE LOGITS
     nuts
    1.80
     nut
    1.76
     Nuts
    1.61
    Nuts
    1.57
    nuts
    1.55
     Nut
    1.46
    Nut
    1.43
    nut
    1.39
     walnuts
    1.34
     NUT
    1.31
    Activations Density 0.224%

    No Known Activations