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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 6992
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    INDEX
    Explanations

    references to alcoholic beverages

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

    alcohol or drinking

    np_acts-logits-general · gemini-2.0-flash

    alcoholic drinks, liquor, and spirits

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    crollView
    -0.45
     ortop
    -0.42
     fibro
    -0.42
     coser
    -0.39
    月号
    -0.39
    oblastoma
    -0.38
     COMPUT
    -0.37
     ElementRef
    -0.36
     corrid
    -0.36
     cancell
    -0.36
    POSITIVE LOGITS
     beer
    1.16
     drink
    1.09
     alcohol
    1.09
     drinker
    1.08
     whiskey
    1.08
     drinkers
    1.07
     liquor
    1.05
     alcoholic
    1.04
     distillery
    1.03
     wine
    1.02
    Activations Density 0.177%

    No Known Activations