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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. 13660
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    Explanations

    references to locations, particularly beaches and seaside properties

    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
    calientes
    -0.55
     religieuses
    -0.40
    ***/
    -0.39
    abá
    -0.38
    amqp
    -0.38
     jScrollPane
    -0.37
    parfum
    -0.36
    NamedQueries
    -0.36
    jMenuItem
    -0.35
    NVIC
    -0.35
    POSITIVE LOGITS
     beach
    1.55
     Beach
    1.30
    beach
    1.28
    Beach
    1.27
     beachfront
    1.20
     BEACH
    1.20
     seaside
    1.19
     coastal
    1.16
     beaches
    1.16
     seashore
    1.12
    Activations Density 0.298%

    No Known Activations