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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 11433
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    Explanations

    references to different types of food, particularly fruits and vegetables

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

    words related to specific types of food and vegetables.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    Tracce
    -0.53
    UpInside
    -0.48
    PrintStream
    -0.40
    itattu
    -0.39
    baño
    -0.38
     bp
    -0.38
    bp
    -0.38
    mappedBy
    -0.37
    Життєпис
    -0.37
    BP
    -0.36
    POSITIVE LOGITS
     vegetables
    1.55
     veggies
    1.34
     vegetable
    1.32
     Vegetables
    1.32
    Vegetables
    1.27
    vegetables
    1.20
     carrots
    1.15
     Vegetable
    1.13
    Vegetable
    1.13
     fruits
    1.11
    Activations Density 0.239%

    No Known Activations