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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 9691
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     épaules
    -0.43
    发表于
    -0.43
     msglen
    -0.42
    WriteBarrier
    -0.41
    intios
    -0.38
     Zä
    -0.38
    สึก
    -0.38
    
    -0.36
    orgh
    -0.36
    AutoScale
    -0.35
    POSITIVE LOGITS
     then
    0.67
     consequently
    0.55
     sitten
    0.54
     subsequently
    0.52
    然后
    0.50
     further
    0.50
     ergo
    0.49
    然後
    0.49
    となると
    0.49
     AssemblyCompany
    0.48
    Activations Density 0.633%

    No Known Activations