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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 7222
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    references to specific car models and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    UnusedPrivate
    -0.57
    CloseOperation
    -0.45
    Potatoes
    -0.45
    ulemon
    -0.43
    versaire
    -0.41
    UserScript
    -0.40
    moveToFirst
    -0.40
     Potatoes
    -0.40
    árl
    -0.40
    зербай
    -0.40
    POSITIVE LOGITS
     SRT
    0.69
     Chrysler
    0.68
     MOP
    0.65
    Chrys
    0.59
     chrysler
    0.58
    chrys
    0.57
     Dodge
    0.57
     Charger
    0.56
     Challenger
    0.54
    MOP
    0.53
    Activations Density 0.250%

    No Known Activations