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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 8174
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    Explanations

    culinary ingredients and preparation techniques

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    before numbers enclosed in brackets

    np_acts-logits-general · gemini-2.0-flash

    instant noodles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     historiques
    -0.43
     rokok
    -0.42
     fotográfico
    -0.41
     secretos
    -0.41
     burbujas
    -0.40
     kosmety
    -0.40
     pérdidas
    -0.39
     literario
    -0.38
     teori
    -0.37
     carteles
    -0.37
    POSITIVE LOGITS
    tagHelperRunner
    0.68
     casserole
    0.65
     thawed
    0.60
    principalColumn
    0.59
     casser
    0.58
    nocchi
    0.57
     quinoa
    0.55
     leftovers
    0.54
     rehe
    0.54
     lasagna
    0.53
    Activations Density 0.132%

    No Known Activations