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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. 6514
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    Explanations

    references to lakes and bodies of water

    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
     fibres
    -0.50
     apologised
    -0.50
    bootstrapcdn
    -0.50
     παρά
    -0.49
     estekak
    -0.48
    ArrowToggle
    -0.47
    Morrison
    -0.47
    ScopeManager
    -0.47
    IBarButtonItem
    -0.47
     apologise
    -0.46
    POSITIVE LOGITS
     lake
    1.30
     lakes
    1.15
     Lake
    1.15
    Lake
    1.05
     Lakes
    0.93
     LAKE
    0.91
    lake
    0.88
    lakes
    0.85
    Lakes
    0.81
     pond
    0.80
    Activations Density 0.219%

    No Known Activations