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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8995
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    keywords related to the Veterans Affairs healthcare system and its programs

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

    references to the Veterans Affairs (VA) organization and its programs.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    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
    -0.35
     Roskov
    -0.34
    createTextNode
    -0.34
    Datuak
    -0.32
    ſt
    -0.32
     Dur
    -0.31
     volume
    -0.31
     ExecuteAsync
    -0.30
     TextInputType
    -0.30
    XmlAccessorType
    -0.30
    POSITIVE LOGITS
     veterans
    1.76
     Veterans
    1.63
    Veterans
    1.58
     Veteran
    1.55
     veteran
    1.45
     vets
    1.44
    veter
    1.44
    Veteran
    1.40
     VETER
    1.38
     Veter
    1.27
    Activations Density 0.160%

    No Known Activations