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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 223
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    INDEX
    Explanations

    references to veterans and their experiences or contributions across various fields

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

    veteran of a profession or group

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    rrggbb
    -0.41
     Clothes
    -0.40
     interessiert
    -0.39
    brides
    -0.38
     Appliance
    -0.38
     Airbus
    -0.37
     catchment
    -0.36
    cabul
    -0.36
    ristmas
    -0.36
    Ireland
    -0.36
    POSITIVE LOGITS
     veteran
    1.74
    Veteran
    1.56
     Veteran
    1.33
    veter
    1.28
     veter
    1.25
     vété
    1.18
     veterans
    1.08
    experienced
    1.02
    Experienced
    1.01
     seasoned
    1.00
    Activations Density 0.004%

    No Known Activations