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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. 1680
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    Explanations

    references to various types of bags and baggage

    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
    OGND
    -0.52
     Signalez
    -0.51
    IVEREF
    -0.50
    THON
    -0.48
    NewUrlParser
    -0.47
    RTEE
    -0.47
     CascadeType
    -0.46
    
    -0.46
    TestingModule
    -0.46
    thre
    -0.45
    POSITIVE LOGITS
     Bag
    1.04
     bag
    0.98
    Bag
    0.97
     BAG
    0.94
     bags
    0.84
    bag
    0.83
     Bags
    0.82
    BAG
    0.81
    Bags
    0.77
    bags
    0.73
    Activations Density 0.099%

    No Known Activations