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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12844
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    INDEX
    Explanations

    references to various governmental agencies and their implications in contexts

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

    "agency"

    np_acts-logits-general · gemini-2.0-flash

    agency and instances

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cleveland
    -0.44
     ujednoznacz
    -0.43
    Wet
    -0.41
     Derbyshire
    -0.40
     Harvard
    -0.40
     Heathrow
    -0.39
     Lumb
    -0.39
     Nottingham
    -0.39
    Dry
    -0.38
     Dryden
    -0.37
    POSITIVE LOGITS
     Instance
    0.75
     AssemblyCompany
    0.74
    InstanceId
    0.68
    Instance
    0.68
    instance
    0.68
     AGENT
    0.68
     Agent
    0.67
     commissions
    0.67
     machines
    0.67
     commission
    0.67
    Activations Density 0.189%

    No Known Activations