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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 7354
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    Explanations

    occurrences of the word "having."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Démographie
    -0.64
    MemoryWarning
    -0.63
    VIRONMENT
    -0.60
     Forsch
    -0.60
    lámpara
    -0.59
     urbanas
    -0.58
    wijze
    -0.58
    shadowOffset
    -0.58
    prozess
    -0.58
     arteries
    -0.57
    POSITIVE LOGITS
     having
    3.60
    having
    3.35
     Having
    3.30
    Having
    3.23
     HAVING
    2.90
     being
    1.71
     avendo
    1.70
     ayant
    1.68
     habiendo
    1.59
    being
    1.52
    Activations Density 0.074%

    No Known Activations