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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. 5708
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    Explanations

    words related to seasoning and fortification in cooking or nutrition

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

    ending with "-ification," "-ing," or similar suffixes

    np_acts-logits-general · gemini-2.0-flash

    fill, decorate, fortify, enrich

    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
    \{\\
    -0.57
    CloseOperation
    -0.56
     endforeach
    -0.54
    ToAction
    -0.53
    UTERS
    -0.48
    gdx
    -0.48
    SpringRunner
    -0.47
    mphony
    -0.46
    typeorm
    -0.45
    RefNanny
    -0.45
    POSITIVE LOGITS
     Савезне
    0.50
     filling
    0.47
     decorate
    0.47
     relleno
    0.47
     Filling
    0.44
    populate
    0.44
    новништво
    0.44
     riemp
    0.43
    новниш
    0.43
     decorating
    0.42
    Activations Density 0.712%

    No Known Activations