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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7731
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    Explanations

    references to boats or similar watercraft

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    колеп
    -0.41
    allocate
    -0.39
    felizmente
    -0.36
     매
    -0.36
    OrEqualTo
    -0.35
    tij
    -0.33
     geringen
    -0.33
     travelling
    -0.33
     alloc
    -0.32
     commodity
    -0.32
    POSITIVE LOGITS
     boat
    1.91
    Boat
    1.78
     Boat
    1.77
    boat
    1.70
     BOAT
    1.57
     boats
    1.40
     Boats
    1.33
    Boats
    1.30
    boats
    1.30
     boating
    1.02
    Activations Density 0.039%

    No Known Activations