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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 5605
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    references to arms, specifically focusing on various aspects and contexts of arms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EndContext
    -0.41
     erythrocytes
    -0.41
    PostMapping
    -0.39
    getKeyCode
    -0.39
    มาย
    -0.36
     ruby
    -0.36
    abyte
    -0.35
     Ngb
    -0.35
     Leto
    -0.35
     AssemblyCompany
    -0.35
    POSITIVE LOGITS
    arm
    2.33
     Arm
    2.30
    Arm
    2.25
     arm
    2.20
    ARM
    1.93
     ARM
    1.92
    arms
    1.77
     arms
    1.77
     Arms
    1.63
    Arms
    1.54
    Activations Density 0.213%

    No Known Activations