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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 13423
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    terms related to military veterans and their service

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.50
     certamen
    -0.44
     <>",
    -0.40
     Konferenz
    -0.40
    Herzliche
    -0.37
     lluvias
    -0.37
     ragaz
    -0.37
     COUNCIL
    -0.37
     Hofmann
    -0.37
    ViewChild
    -0.37
    POSITIVE LOGITS
     military
    0.66
    military
    0.65
    Military
    0.65
     veterans
    0.64
    Veterans
    0.64
     Military
    0.60
    veter
    0.59
     Veterans
    0.57
     Armed
    0.57
     Veteran
    0.56
    Activations Density 0.283%

    No Known Activations