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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. 8773
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    Explanations

    references to hotels and their features

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    FormTagHelper
    -0.45
    tabol
    -0.42
    IGraphics
    -0.42
    keyColumn
    -0.42
     jadx
    -0.41
    Brainz
    -0.39
    existsSync
    -0.38
    Personendaten
    -0.37
     gravest
    -0.37
     Taktlose
    -0.36
    POSITIVE LOGITS
     hotel
    2.94
     Hotel
    2.63
    Hotel
    2.55
     hotels
    2.53
    hotel
    2.53
     HOTEL
    2.39
     Hotels
    2.28
     hotell
    2.23
    HOTEL
    2.22
     hote
    2.19
    Activations Density 0.357%

    No Known Activations