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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9624
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    Explanations

    cooking instructions or processes related to food preparation

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

    Instructions or mentions of "boiling"

    np_acts-logits-general · gemini-2.0-flash

    boiling water

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
    phosa
    -0.55
    HandlerContext
    -0.54
     jspb
    -0.52
     Concrete
    -0.49
     ويكيپيديا
    -0.48
    serviceWorker
    -0.48
     Saad
    -0.46
    concrete
    -0.46
    étal
    -0.46
     Patsy
    -0.45
    POSITIVE LOGITS
     boiling
    1.33
     boil
    1.29
     Boil
    1.16
     Boiling
    1.12
    boil
    1.09
     boiled
    1.08
    boiling
    1.07
     boils
    1.04
    Boiling
    1.02
    boiled
    0.96
    Activations Density 0.151%

    No Known Activations