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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2725
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    Explanations

    references to wetness or moisture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StructEnd
    -0.52
    inalg
    -0.46
    endregion
    -0.45
    AddTagHelper
    -0.40
    scalatest
    -0.40
    amssymb
    -0.39
    richTextPanel
    -0.37
     ordinaire
    -0.37
     SwiftUI
    -0.36
     opar
    -0.36
    POSITIVE LOGITS
     wet
    2.41
     Wet
    2.11
    wet
    2.09
    Wet
    2.09
     WET
    1.70
    WET
    1.63
     wetting
    1.35
     wetter
    1.27
    湿
    1.24
     basah
    1.09
    Activations Density 0.054%

    No Known Activations