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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 4454
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    Explanations

    references to 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-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wiſe
    -0.47
     tatuaje
    -0.47
     perſon
    -0.46
     ſtre
    -0.45
     acrylique
    -0.43
    AnimationsModule
    -0.43
    grenze
    -0.41
     ainfi
    -0.39
     signo
    -0.39
     dignité
    -0.38
    POSITIVE LOGITS
    Had
    0.96
     had
    0.96
     Had
    0.93
    had
    0.89
     HAD
    0.83
     Hadley
    0.77
    HAD
    0.75
     Hadid
    0.74
    Hed
    0.70
    did
    0.70
    Activations Density 0.202%

    No Known Activations