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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 7561
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    INDEX
    Explanations

    cooking instructions and food preparation steps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    cutting or slicing

    np_acts-logits-general · gemini-2.0-flash

    cutting into pieces

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SerializedName
    -0.38
    ⓘ
    -0.36
     blankets
    -0.34
    __":
    -0.34
    binder
    -0.33
     wyś
    -0.33
     viewDidLoad
    -0.33
     chrono
    -0.33
     Coats
    -0.32
    lijkheid
    -0.32
    POSITIVE LOGITS
     cut
    0.76
     cuts
    0.73
     chop
    0.69
     chopping
    0.67
     taglio
    0.66
     slices
    0.66
     slicing
    0.65
     chopped
    0.65
     sliced
    0.65
    cuts
    0.63
    Activations Density 0.426%

    No Known Activations