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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. 8350
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    terms related to transportation and transit systems

    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
    SequentialGroup
    -0.55
    #+#
    -0.53
    SharedDtor
    -0.52
    
    -0.50
    ThroughAttribute
    -0.49
     otomatig
    -0.48
    jsii
    -0.46
    ArgsConstructor
    -0.44
    ljeno
    -0.41
     AssemblyCulture
    -0.41
    POSITIVE LOGITS
     subway
    1.51
     tram
    1.43
     metro
    1.41
     Metro
    1.34
     bus
    1.27
     train
    1.23
     trams
    1.20
    Metro
    1.18
     trains
    1.15
     transit
    1.14
    Activations Density 0.359%

    No Known Activations