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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12846
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    INDEX
    Explanations

    processes involving heating and boiling in scientific or cooking contexts

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

    heating or boiling

    np_acts-logits-general · gemini-2.0-flash

    applying heat or boiling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Autorisations
    -0.46
     cytometry
    -0.45
    RunWith
    -0.44
    DockStyle
    -0.44
     Watermelon
    -0.43
     Starling
    -0.43
    AdapterView
    -0.43
    $_['
    -0.42
     cucumbers
    -0.42
     Buren
    -0.42
    POSITIVE LOGITS
     boiling
    0.89
     heating
    0.88
     heat
    0.79
     boil
    0.79
     boiler
    0.78
     Heat
    0.77
    Heating
    0.77
     steam
    0.77
     heater
    0.77
     heated
    0.76
    Activations Density 0.829%

    No Known Activations