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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 8020
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    references to accessibility features in seaside locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    хьтан
    -0.52
     HasFactory
    -0.50
    MockMvc
    -0.46
    calientes
    -0.44
     Yerevan
    -0.43
     propOrder
    -0.43
     Lusaka
    -0.42
    Edmonton
    -0.42
    amqp
    -0.42
     Chengdu
    -0.42
    POSITIVE LOGITS
     beach
    2.31
     seaside
    2.08
     coastal
    2.06
     seashore
    2.05
     Beach
    2.05
     beachfront
    2.02
    Beach
    2.00
    beach
    1.98
     BEACH
    1.94
     ocean
    1.93
    Activations Density 0.752%

    No Known Activations