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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6251
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    Explanations

    references to various types of buns, particularly in culinary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 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
     dAtA
    -0.42
     Silvio
    -0.36
    shtml
    -0.36
     BT
    -0.36
     wound
    -0.35
     intptr
    -0.35
     CreateTagHelper
    -0.34
     nato
    -0.34
    ジン
    -0.34
     dynamic
    -0.33
    POSITIVE LOGITS
    Bun
    0.85
     bun
    0.84
     Bun
    0.82
    bunch
    0.68
    bun
    0.66
    ніципалі
    0.66
     bunch
    0.63
     cab
    0.63
    Guess
    0.60
     BUN
    0.60
    Activations Density 0.496%

    No Known Activations