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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 3637
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    Explanations

    phrases related to packing for travel, specifically for cruises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CreateTagHelper
    -0.49
     disambiguazione
    -0.44
    __':
    -0.44
    脚注の使い方
    -0.44
     capteur
    -0.43
    NamedQueries
    -0.42
    parsedMessage
    -0.42
     suple
    -0.42
    oa̍t
    -0.41
    writerow
    -0.40
    POSITIVE LOGITS
     movers
    1.20
     moving
    1.16
     packing
    1.13
     Moving
    1.11
    Moving
    1.07
     Movers
    1.05
    moving
    1.03
     mover
    1.02
     Packing
    1.01
    Packing
    0.99
    Activations Density 0.135%

    No Known Activations