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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2686
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    INDEX
    Explanations

    references to naval vessels and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Names of ships

    np_acts-logits-general · gemini-2.0-flash

    Turkish International shipping

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     roadside
    -0.47
    Autoritní
    -0.45
     sidewalk
    -0.42
     subterrá
    -0.40
     estrada
    -0.39
    Jegyzetek
    -0.38
     Walden
    -0.38
     underground
    -0.38
     Landis
    -0.38
    地下
    -0.38
    POSITIVE LOGITS
     ship
    1.32
     ships
    1.23
     sailing
    1.08
     Ship
    1.02
     sailors
    1.02
     navire
    1.01
     Ships
    1.01
    Ships
    1.00
     maritime
    0.98
    Ship
    0.98
    Activations Density 0.437%

    No Known Activations