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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. 8299
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    Explanations

    references to veterans and the organizations that support them

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

    "Veterans" or "Veterans Affairs"-related text

    np_acts-logits-general · gemini-2.0-flash

    veterans and their affairs

    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
    OGND
    -0.43
     resourceCulture
    -0.40
     katal
    -0.36
    Superclass
    -0.34
    PreExecute
    -0.34
    IntoConstraints
    -0.34
     '\\;'
    -0.33
    createTextNode
    -0.33
    Emin
    -0.33
     Diri
    -0.32
    POSITIVE LOGITS
     veterans
    1.55
     Veterans
    1.41
    Veterans
    1.41
     Veteran
    1.26
     military
    1.23
    military
    1.23
    veter
    1.23
     vets
    1.20
    Military
    1.20
     Military
    1.20
    Activations Density 0.278%

    No Known Activations