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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 5-GEMMASCOPE-RES-16K
    11. 7892
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    Explanations

    specific food items, particularly types of meats and cheeses, often in a sandwich context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 5-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.5.hook_resid_post
    Hook Layer
    5
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.84
    例句
    -0.83
     שוליים
    -0.82
    tagHelperRunner
    -0.74
    Билгалдахарш
    -0.73
    Referencies
    -0.70
    ")));
    -0.68
     IndexPath
    -0.68
     CreateTagHelper
    -0.68
    Coordonnées
    -0.66
    POSITIVE LOGITS
     cheese
    1.23
     Cheese
    1.08
     meat
    1.06
    cheese
    1.05
    Cheese
    1.03
    Meat
    0.99
     bacon
    0.98
     Meat
    0.96
     meats
    0.90
     cheeses
    0.89
    Activations Density 0.269%

    No Known Activations