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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. 10769
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    references to addresses in a technical or code-related context

    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
    Won
    -0.53
    Johan
    -0.50
    Unione
    -0.48
    Pauline
    -0.47
    Kai
    -0.46
    Kl
    -0.46
     Vicky
    -0.45
    Jin
    -0.45
     WON
    -0.45
    Vicky
    -0.45
    POSITIVE LOGITS
     Address
    1.09
     address
    1.07
    Address
    0.98
    address
    0.97
     ADDRESS
    0.95
     getAddress
    0.93
    ddress
    0.92
     Addresses
    0.90
     addressed
    0.88
    SocketAddress
    0.87
    Activations Density 0.058%

    No Known Activations