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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 11559
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    Explanations

    references to mountains and hills

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     temporal
    -0.42
     Jeffries
    -0.40
     suspended
    -0.38
     Tiffany
    -0.38
     Chicago
    -0.38
     JAN
    -0.38
     Astra
    -0.38
     Jeffer
    -0.37
    ebi
    -0.37
    suspended
    -0.36
    POSITIVE LOGITS
    Mountain
    1.81
     mountain
    1.77
     Mountain
    1.77
    mountain
    1.64
     MOUNTAIN
    1.63
     mountains
    1.48
     Mountains
    1.42
     hill
    1.41
    Mountains
    1.39
    mountains
    1.32
    Activations Density 0.290%

    No Known Activations