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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 7404
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    Explanations

    references to geographical features, specifically 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 @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    庁
    -0.42
    teva
    -0.33
     AFL
    -0.31
    CHICAGO
    -0.31
    protocol
    -0.30
     Astra
    -0.30
    script
    -0.30
    ịp
    -0.30
    intent
    -0.29
    InteropServices
    -0.29
    POSITIVE LOGITS
     mountain
    1.60
    Mountain
    1.57
     Mountain
    1.57
     mountains
    1.53
    mountain
    1.51
     Mountains
    1.48
     MOUNTAIN
    1.45
    Mountains
    1.41
    mountains
    1.41
     montagne
    1.21
    Activations Density 0.242%

    No Known Activations