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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. 8297
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    INDEX
    Explanations

    cooking-related actions and processes

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

    Mixing or homogenizing substances

    np_acts-logits-general · gemini-2.0-flash

    mixing and preparing ingredients

    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
    OrNil
    -0.67
    RegressionTest
    -0.60
     kasarigan
    -0.60
    addContainerGap
    -0.58
     transfieras
    -0.57
     defaultstate
    -0.56
    ThroughAttribute
    -0.56
     مرئيه
    -0.56
    ValueStyle
    -0.56
     ब्रेकडाउन
    -0.56
    POSITIVE LOGITS
     sw
    0.41
     forced
    0.40
     swirls
    0.40
     homogen
    0.38
     mash
    0.37
     pressing
    0.37
     stretches
    0.37
     spread
    0.36
     press
    0.36
     menger
    0.36
    Activations Density 0.321%

    No Known Activations