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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8807
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    Explanations

    the frequency of the word "lot" 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 @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 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
     UBC
    -0.73
    脚注の使い方
    -0.72
     wikipagina
    -0.67
    WriteBarrier
    -0.66
     Fiske
    -0.64
    czuk
    -0.63
     testSet
    -0.62
     doInBackground
    -0.62
     Humphreys
    -0.61
     Schäfer
    -0.61
    POSITIVE LOGITS
     lot
    0.89
     alot
    0.87
     much
    0.84
     הרבה
    0.72
     mucha
    0.72
    much
    0.71
     lots
    0.70
     mucho
    0.68
     heavily
    0.68
    testens
    0.64
    Activations Density 0.055%

    No Known Activations