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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 8443
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    INDEX
    Explanations

    phrases that include the word "that" or "which" to identify specific conditions or descriptions

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

    followed by relative pronouns

    np_acts-logits-general · gemini-2.0-flash

    clauses starting with 'that', 'who', 'which'

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+
    -0.43
    KommentareTeilen
    -0.43
    CppCodeGen
    -0.42
     setLoading
    -0.38
     NSCoder
    -0.37
    FieldNumber
    -0.35
    cumin
    -0.35
     eût
    -0.35
     HttpHeaders
    -0.34
     officiels
    -0.34
    POSITIVE LOGITS
    AccessorTable
    0.54
     الرياضيه
    0.53
    Życiorys
    0.50
     Kowal
    0.49
    تقاوى
    0.48
    Tikang
    0.47
     Wachs
    0.47
    Життєпис
    0.46
    المناصب
    0.45
    Сыртқы
    0.45
    Activations Density 0.423%

    No Known Activations