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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10818
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    references to sports statistics and player performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    expandindo
    -0.46
     intptr
    -0.41
     Hoops
    -0.40
    ggable
    -0.40
    eiro
    -0.39
    windowFixed
    -0.39
    telemetry
    -0.39
    enumii
    -0.38
     بسی
    -0.37
    tshell
    -0.37
    POSITIVE LOGITS
     running
    0.98
     rushing
    0.91
     Running
    0.87
    Running
    0.84
     RUNNING
    0.82
    running
    0.81
     runners
    0.77
     rush
    0.74
     RB
    0.72
    RUNNING
    0.72
    Activations Density 0.151%

    No Known Activations