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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. 972
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    references to rivers and associated activities

    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
     Roskov
    -0.65
    Tikang
    -0.63
     ProtoMessage
    -0.62
    RegressionTest
    -0.60
    abinieri
    -0.57
    expandindo
    -0.53
     Raton
    -0.53
     desmotivaciones
    -0.53
     resourceCulture
    -0.53
     propOrder
    -0.52
    POSITIVE LOGITS
     river
    1.25
    river
    1.02
     River
    1.00
     riverside
    0.94
    River
    0.93
     rivers
    0.91
     sungai
    0.86
    河
    0.79
     RIVER
    0.79
     sông
    0.77
    Activations Density 0.455%

    No Known Activations