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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1242
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    Explanations

    references to dog treats and associated feeding practices

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

    eating or feeding

    np_acts-logits-general · gemini-2.0-flash

    food, feed, and meals

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.61
     AssemblyTitle
    -0.55
    twimg
    -0.55
    GraphicsUnit
    -0.55
    AndEndTag
    -0.54
    ValueStyle
    -0.52
     InputDecoration
    -0.50
    WriteTagHelper
    -0.49
     BorderSide
    -0.47
     jspb
    -0.46
    POSITIVE LOGITS
     Futter
    0.53
     feeders
    0.48
     meals
    0.45
     Feeding
    0.44
     Feed
    0.44
    Feed
    0.43
     starve
    0.42
    Feeding
    0.42
     snacks
    0.41
    Meals
    0.41
    Activations Density 0.314%

    No Known Activations