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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7234
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    Explanations

    the word "had" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/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.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RTEE
    -0.99
    PreferredItem
    -0.92
     Reuter
    -0.90
     Torrey
    -0.90
     Vicenza
    -0.89
     Erscheinung
    -0.89
    LLocation
    -0.88
     JpaRepository
    -0.85
    ViewFeatures
    -0.82
     Ressources
    -0.80
    POSITIVE LOGITS
     Had
    1.32
     HAD
    1.22
     had
    1.22
    Had
    1.17
    had
    0.96
    s
    0.96
     Hadley
    0.83
     Hadid
    0.81
    HAD
    0.79
     είχε
    0.78
    Activations Density 0.121%

    No Known Activations