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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. 7775
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    references to popular brands and franchises, particularly in the context of childhood nostalgia

    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
    transQ
    -0.47
    windowFixed
    -0.46
    BufferException
    -0.44
    曖昧さ回避
    -0.44
     beginnetje
    -0.44
     OFDb
    -0.42
     للاسماء
    -0.42
    
    -0.40
    @[+][
    -0.40
    getMenuInflater
    -0.40
    POSITIVE LOGITS
     LEGO
    1.23
     bricks
    1.23
     Lego
    1.22
     Brick
    1.19
     brick
    1.19
     lego
    1.16
     Bricks
    1.15
    Brick
    1.13
    LEGO
    1.08
    Lego
    1.05
    Activations Density 0.164%

    No Known Activations