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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 6915
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    Explanations

    references to geographical locations and mountain ranges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SpringRunner
    -0.47
     OFDb
    -0.41
    Rhestr
    -0.40
    APORE
    -0.39
     AssemblyCompany
    -0.39
    AddTagHelper
    -0.39
    UrlResolution
    -0.39
    ArgsConstructor
    -0.38
    ScopeManager
    -0.37
    istoitu
    -0.37
    POSITIVE LOGITS
     mountain
    2.53
     mountains
    2.45
    mountain
    2.16
     Mountains
    2.11
    mountains
    2.05
     Mountain
    2.02
    Mountain
    1.97
     mountainous
    1.95
    Mountains
    1.94
     MOUNTAIN
    1.90
    Activations Density 0.400%

    No Known Activations