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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 2171
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    Explanations

    instructions and steps related to food preparation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Filtering
    -0.54
    shooting
    -0.52
    mapping
    -0.52
    feeding
    -0.52
     plotting
    -0.51
     filtering
    -0.51
     Cooling
    -0.51
    fishing
    -0.50
    filtering
    -0.50
     blurring
    -0.50
    POSITIVE LOGITS
     clean
    0.74
     condition
    0.66
     polish
    0.63
     prepare
    0.61
     finish
    0.55
     dress
    0.55
     season
    0.53
     perform
    0.52
     repair
    0.52
     groom
    0.52
    Activations Density 0.611%

    No Known Activations