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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 9071
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    tags used for categorization within text

    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
     labor
    -0.40
     letter
    -0.40
    Letter
    -0.40
    SequentialGroup
    -0.39
     Labour
    -0.39
     labour
    -0.39
    labor
    -0.39
    LETTER
    -0.38
     LETTER
    -0.36
    LABOR
    -0.36
    POSITIVE LOGITS
     tag
    3.44
     tags
    3.38
     Tag
    2.95
     Tags
    2.80
    Tag
    2.72
    tag
    2.72
    tags
    2.67
     tagging
    2.61
     tagged
    2.58
    Tags
    2.52
    Activations Density 0.402%

    No Known Activations