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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8927
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    INDEX
    Explanations

    technical terms related to processing materials and waste management

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

    Things being cut or ground

    np_acts-logits-general · gemini-2.0-flash

    grinding, shredding, chopping, cutting

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     juſ
    -0.32
    terscotch
    -0.31
    bmatrix
    -0.31
     göster
    -0.31
    ッケージ
    -0.31
     прави
    -0.31
     пле
    -0.30
     Schofield
    -0.30
     poches
    -0.30
     trésor
    -0.30
    POSITIVE LOGITS
     shred
    1.05
     grinding
    0.98
     grind
    0.94
     crushing
    0.91
     chopping
    0.89
     shredded
    0.88
     grinder
    0.88
     Shred
    0.87
     finely
    0.86
     crush
    0.86
    Activations Density 0.325%

    No Known Activations