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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 5496
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    Explanations

    references to fast food chains and their business practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of fast food and junk food items.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mohr
    -0.42
     portero
    -0.40
     pháp
    -0.38
     perlas
    -0.36
     personlig
    -0.36
     käs
    -0.35
    PMailer
    -0.35
     bicicletas
    -0.34
     specchio
    -0.34
    sepeda
    -0.33
    POSITIVE LOGITS
     McDonald
    1.50
     McDonalds
    1.49
    McDonald
    1.41
     mcdonald
    1.23
     KFC
    1.21
     burger
    1.19
     Burger
    1.18
     mcd
    1.10
     hamburgers
    1.10
    Burger
    1.08
    Activations Density 0.233%

    No Known Activations