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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 10978
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    Explanations

    references to lakes and aquatic environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ToolStripButton
    -0.50
    verbal
    -0.49
    IBAction
    -0.49
    XmlAccessType
    -0.49
    idopsis
    -0.48
    UserScript
    -0.47
     Wand
    -0.47
     дії
    -0.47
    mortar
    -0.47
    rija
    -0.46
    POSITIVE LOGITS
     lake
    1.05
     Lake
    0.90
     lakes
    0.85
    Lake
    0.84
    lake
    0.71
     pond
    0.71
     LAKE
    0.70
     Lakes
    0.68
     озеро
    0.63
     ponds
    0.61
    Activations Density 0.115%

    No Known Activations