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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 902
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    Explanations

    references to wood materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_9/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    protoimpl
    -1.27
    onAttach
    -1.22
     >=",
    -1.19
    IUrlHelper
    -1.17
     linkovi
    -1.17
    WebVitals
    -1.16
     myſelf
    -1.15
    InjectAttribute
    -1.14
     pleaſure
    -1.09
     ostavi
    -1.09
    POSITIVE LOGITS
     Wood
    1.62
     WOOD
    1.53
    Wood
    1.52
     wood
    1.41
    wood
    1.38
     Woods
    1.30
    WOOD
    1.22
     Woodward
    1.18
     Holz
    1.07
    木
    1.07
    Activations Density 0.084%

    No Known Activations