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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 6-GEMMASCOPE-RES-16K
    11. 3837
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    Explanations

    references to various types of food, particularly sandwiches, pizzas, and other culinary items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 6-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_6/width_16k/average_l0_70
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.6.hook_resid_post
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onAttach
    -0.56
     addObject
    -0.56
     ferons
    -0.55
     useEffect
    -0.53
    exels
    -0.53
    IMPORTED
    -0.52
     jsPsych
    -0.51
    Välislingid
    -0.51
    ukone
    -0.51
    AxisAlignment
    -0.49
    POSITIVE LOGITS
     pizza
    1.15
     pizzas
    1.10
     Pizza
    1.02
    Pizza
    0.97
    pizza
    0.97
    Piz
    0.92
     sandwiches
    0.89
     sandwich
    0.89
     Pizzeria
    0.79
     hamburger
    0.78
    Activations Density 0.110%

    No Known Activations