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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 6911
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    Explanations

    words related to cheese and cheeseburgers

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

    preceding "to" or related to "cheese"

    np_acts-logits-general · gemini-2.0-flash

    cheese and meat

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_16k/average_l0_91
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CGContext
    -0.45
     figlia
    -0.43
     bailarina
    -0.42
     douleur
    -0.39
     täh
    -0.38
     tjen
    -0.38
     käyt
    -0.38
     cyclone
    -0.38
     poussière
    -0.37
     doccia
    -0.37
    POSITIVE LOGITS
     cheese
    0.99
     Cheese
    0.97
    Cheese
    0.91
     cheeses
    0.87
    cheese
    0.80
    🧀
    0.69
    cuterie
    0.65
     garlic
    0.60
     brie
    0.60
     Garlic
    0.59
    Activations Density 0.153%

    No Known Activations