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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 258
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    Explanations

    references to specific fast food or restaurant chains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MaterialApp
    -0.48
    InputBorder
    -0.47
    Diwedd
    -0.46
     gantung
    -0.46
    principalTable
    -0.44
     tør
    -0.43
     dekoratif
    -0.42
     refugi
    -0.41
     nór
    -0.41
    umman
    -0.40
    POSITIVE LOGITS
     McDonald
    1.34
     McDonalds
    1.23
    McDonald
    1.21
     Burger
    1.19
     fast
    1.07
     KFC
    1.06
     burger
    1.04
    Burger
    1.03
     mcdonald
    1.02
     mcd
    0.98
    Activations Density 0.157%

    No Known Activations