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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 2643
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    Explanations

    references to wetness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "wet" in various contexts.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     समीक्षक
    -0.49
     protoimpl
    -0.48
    +:+
    -0.47
    initComponents
    -0.46
     ProtoMessage
    -0.46
     QtWidgets
    -0.45
    pushFollow
    -0.45
     barbati
    -0.44
     oamen
    -0.43
    ürlich
    -0.42
    POSITIVE LOGITS
     pooling
    0.51
     DRAIN
    0.45
     Drainage
    0.45
     Drain
    0.44
     BorderSide
    0.42
     drain
    0.42
    drain
    0.42
     POOL
    0.42
    Drainage
    0.42
    pool
    0.41
    Activations Density 0.309%

    No Known Activations