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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 8190
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    Explanations

    references to iconic television shows and their production elements

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

    Follows punctuation or special characters

    np_acts-logits-general · gemini-2.0-flash

    action, karate, django

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonder
    -0.40
    binant
    -0.38
     drôle
    -0.37
    ßerdem
    -0.36
     Mawr
    -0.36
    NavController
    -0.36
     textAlign
    -0.35
    MRC
    -0.35
     betweenstory
    -0.35
     communautaire
    -0.35
    POSITIVE LOGITS
     Expend
    0.54
     Action
    0.50
     action
    0.50
     badass
    0.50
     Commando
    0.50
     karate
    0.50
     Rambo
    0.49
     Karate
    0.48
    アクション
    0.48
    sizeCache
    0.47
    Activations Density 0.518%

    No Known Activations