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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 3164
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    Explanations

    references to different types of cheese and their preparation methods

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

    cheese

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Syrie
    -0.40
     getContext
    -0.38
    Ctx
    -0.38
     Siria
    -0.38
    getContext
    -0.38
     Sexton
    -0.37
     feroit
    -0.37
    anhão
    -0.36
     commission
    -0.36
     respiration
    -0.36
    POSITIVE LOGITS
     cheese
    1.30
     Cheese
    1.13
    cheese
    1.10
    Cheese
    1.03
     cheeses
    1.02
     cheddar
    1.01
    🧀
    0.94
     Käse
    0.93
     mozzarella
    0.87
     cheesy
    0.84
    Activations Density 0.040%

    No Known Activations