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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 4815
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    INDEX
    Explanations

    categories and specific types of food, particularly focusing on meat, poultry, and fish

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

    specific types of meat, poultry, and fish products.

    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
    colazione
    -0.43
    gpl
    -0.42
     kopling
    -0.41
     bougies
    -0.41
     tangga
    -0.40
     bénévol
    -0.40
    censo
    -0.39
     الأش
    -0.39
    bnf
    -0.38
     çay
    -0.38
    POSITIVE LOGITS
     meat
    1.76
     Meat
    1.51
    Meat
    1.49
     MEAT
    1.38
     meats
    1.37
    meat
    1.36
     beef
    1.28
     viande
    1.23
    肉
    1.21
     daging
    1.20
    Activations Density 0.214%

    No Known Activations