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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 8337
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    Explanations

    references to wood or wooden items in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 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
    PyExc
    -0.59
    évaluateur
    -0.57
    igshid
    -0.56
    forName
    -0.55
    ContentAsync
    -0.55
    tréal
    -0.54
    jsii
    -0.54
    Tembelea
    -0.53
     legno
    -0.53
     CURIAM
    -0.52
    POSITIVE LOGITS
    wood
    1.28
    WOOD
    0.98
    woods
    0.76
    ware
    0.74
     uniform
    0.72
     Pelham
    0.71
    Uniform
    0.67
    szön
    0.66
     uniformity
    0.65
     Uniform
    0.65
    Activations Density 0.084%

    No Known Activations