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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8676
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    Explanations

    references to wood and related constructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anyway
    -0.51
     genü
    -0.51
     gefährlich
    -0.47
    Anyway
    -0.46
     egna
    -0.46
     Geset
    -0.44
    Apparatus
    -0.43
     ſever
    -0.42
     Nebula
    -0.41
    WaitGroup
    -0.41
    POSITIVE LOGITS
     wood
    1.21
     Wood
    1.11
    Wood
    1.07
     version
    0.98
     WOOD
    0.97
     Version
    0.88
    WOOD
    0.84
    wood
    0.83
    Version
    0.81
     madera
    0.80
    Activations Density 0.233%

    No Known Activations