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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 596
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    terms related to maritime vessels and shipping

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awtextra
    -0.39
    us
    -0.36
    PreExecute
    -0.34
    un
    -0.34
     nyom
    -0.33
    aw
    -0.33
    WebpackPlugin
    -0.33
    is
    -0.32
     Mat
    -0.32
     Ret
    -0.32
    POSITIVE LOGITS
     ships
    1.34
    ships
    1.24
     shipped
    1.23
     ship
    1.22
     Ships
    1.19
    Ships
    1.08
     shipping
    1.05
     sailing
    0.94
    ship
    0.93
     sailed
    0.92
    Activations Density 0.210%

    No Known Activations