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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2467
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    Explanations

    references to cars or automobiles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Spitze
    -0.46
     Rise
    -0.45
     Kurz
    -0.45
    킵
    -0.43
     reflexionar
    -0.42
     Jeff
    -0.42
     Harris
    -0.42
     rise
    -0.41
     Ramírez
    -0.41
    édric
    -0.41
    POSITIVE LOGITS
    Boat
    0.71
    boat
    0.66
     houſe
    0.66
     Molecule
    0.65
    molecule
    0.63
    Clothes
    0.62
     vêtement
    0.62
     Molecules
    0.61
    Демографія
    0.61
     Clothes
    0.60
    Activations Density 0.131%

    No Known Activations