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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 7933
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    references to football players and their statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    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
    -0.48
     kasarigan
    -0.44
    recrow
    -0.43
    tshell
    -0.42
    enumii
    -0.42
    eiro
    -0.42
    rapnel
    -0.41
     Hoops
    -0.40
    telemetry
    -0.40
    zepam
    -0.40
    POSITIVE LOGITS
     running
    1.13
     Running
    1.01
    Running
    0.95
     RUNNING
    0.92
    running
    0.92
     rushing
    0.85
     runners
    0.84
    RUNNING
    0.81
     runner
    0.77
     runs
    0.74
    Activations Density 0.095%

    No Known Activations