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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. 6187
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    Explanations

    references to environmental conditions, particularly related to weather and visibility

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

    weather or the letter "m"

    np_acts-logits-general · gemini-2.0-flash

    weather and rain

    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
    withIdentifier
    -0.52
     препратки
    -0.47
     orient
    -0.46
     صوتيه
    -0.46
    ValueGenerated
    -0.46
     argint
    -0.45
    omation
    -0.43
    skraft
    -0.43
     AssemblyVersion
    -0.42
     resolver
    -0.42
    POSITIVE LOGITS
     weather
    1.66
    weather
    1.36
    Weather
    1.30
     Weather
    1.25
     WEATHER
    1.22
     cuaca
    1.13
     rain
    1.11
     rainy
    1.11
    天气
    1.10
    WEATHER
    1.10
    Activations Density 0.227%

    No Known Activations