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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 8571
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    Explanations

    food-related terminology, specifically focused on types of sandwiches

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

    relating to fast food

    np_acts-logits-general · gemini-2.0-flash

    fast food burgers and fries

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 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
    Tikang
    -0.60
     समीक्षक
    -0.56
     distillery
    -0.55
     somme
    -0.53
    pergillus
    -0.53
     rượu
    -0.52
     linens
    -0.51
     Paglinawan
    -0.51
     Вікі
    -0.50
     littéraire
    -0.50
    POSITIVE LOGITS
     fries
    0.84
     burger
    0.78
     order
    0.73
     patty
    0.70
     Fries
    0.70
     sandwich
    0.69
     burgers
    0.68
     bun
    0.67
     Order
    0.67
     combos
    0.66
    Activations Density 0.156%

    No Known Activations