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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15585
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    Explanations

    references to maritime and shipping contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FunctionFlags
    -0.51
     rijden
    -0.48
     Wiktionnaire
    -0.43
    Bike
    -0.41
     ChromeDriver
    -0.40
     onshore
    -0.40
    NODE
    -0.39
    Naval
    -0.39
    ivasan
    -0.39
     armchair
    -0.38
    POSITIVE LOGITS
     SS
    0.55
     vessel
    0.52
     ship
    0.52
     MV
    0.51
    richTextPanel
    0.50
    WriteTagHelper
    0.48
    хьтан
    0.46
     RMS
    0.46
     LST
    0.46
     ModelRenderer
    0.46
    Activations Density 0.196%

    No Known Activations