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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 74471
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    Explanations

    references to different types of alcoholic beverages and food items

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

    food and drink items

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lint
    -0.65
     slime
    -0.64
     Slime
    -0.59
    بوابة
    -0.58
     Sorge
    -0.57
     esternos
    -0.56
     Kiki
    -0.55
    Datuak
    -0.55
    Dropout
    -0.54
    stir
    -0.54
    POSITIVE LOGITS
     wines
    0.71
     Wines
    0.63
     beers
    0.59
     cheeses
    0.54
     coffees
    0.48
     chocolates
    0.47
     Beers
    0.45
     yks
    0.45
     snows
    0.43
     acque
    0.42
    Activations Density 0.022%

    No Known Activations