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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 12199
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    INDEX
    Explanations

    words and phrases related to cheese and dairy products

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

    cheese

    np_acts-logits-general · gemini-2.0-flash

    cheese and cheese dishes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naby
    -0.52
     Dmitry
    -0.52
     mangroves
    -0.52
     GBIF
    -0.52
     Roskov
    -0.52
     Cranes
    -0.51
     Peabody
    -0.51
     Viana
    -0.50
     Brunswick
    -0.50
    UIKit
    -0.49
    POSITIVE LOGITS
     cheese
    1.65
     Cheese
    1.52
    Cheese
    1.49
     cheeses
    1.40
    cheese
    1.40
    🧀
    1.22
     Käse
    1.21
     dairy
    1.18
     milk
    1.13
     cheddar
    1.11
    Activations Density 0.163%

    No Known Activations