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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3888
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    Explanations

    references to fruits and vegetables in dietary discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ništ
    -0.51
    sqm
    -0.46
     sabbia
    -0.45
     tää
    -0.45
    InlineData
    -0.44
    ⓧ
    -0.43
     ejército
    -0.43
    modelBuilder
    -0.43
     FetchType
    -0.43
    FundMe
    -0.42
    POSITIVE LOGITS
     fruit
    1.01
     fruits
    0.92
     Fruit
    0.88
    Fruit
    0.87
     Fruits
    0.84
    fruit
    0.82
     FRUIT
    0.82
    Fruits
    0.80
     фрук
    0.77
     fruta
    0.75
    Activations Density 0.513%

    No Known Activations