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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. 12212
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    references to memory and personal experiences

    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
    \{\\
    -0.48
    
    -0.44
    ″]
    -0.43
    }{*}{
    -0.39
     calendriers
    -0.39
    ValueStyle
    -0.39
    CppCodeGen
    -0.38
    RUnlock
    -0.38
    jší
    -0.37
    RTEE
    -0.37
    POSITIVE LOGITS
     там
    2.58
     allí
    2.45
     there
    2.39
     dort
    2.25
     acolo
    2.17
     therein
    2.16
    在那里
    2.08
     آنجا
    1.99
     ahí
    1.98
    Там
    1.95
    Activations Density 1.514%

    No Known Activations