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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 9951
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    Explanations

    instructions related to cooking methods and techniques

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

    Cooking methods (baking, grilling, frying)

    np_acts-logits-general · gemini-2.0-flash

    cooking food and methods

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.68
     kasarigan
    -0.53
    webElementXpaths
    -0.52
     الرياضيه
    -0.51
    rungsseite
    -0.50
    ViewImports
    -0.49
     ProtoMessage
    -0.49
    Personendaten
    -0.48
     EconPapers
    -0.48
    ########.
    -0.47
    POSITIVE LOGITS
     cháy
    0.51
     roasted
    0.48
    astify
    0.46
     roasting
    0.44
    makeText
    0.42
     burnt
    0.41
     crispy
    0.40
     burn
    0.40
     crisp
    0.40
    Toast
    0.39
    Activations Density 0.143%

    No Known Activations