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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5982
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    Explanations

    mentions of train stations and related terms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     незавершена
    -0.48
    WriteTagHelper
    -0.43
     kiv
    -0.41
     CBD
    -0.40
     PDF
    -0.40
    PutMapping
    -0.40
    </>
    -0.39
     Wisconsin
    -0.38
    PWD
    -0.38
    Identyfik
    -0.38
    POSITIVE LOGITS
     station
    2.30
     Station
    2.20
     stations
    2.09
     STATION
    2.06
    station
    2.03
    Station
    2.03
     Stations
    2.00
    STATION
    1.80
    stations
    1.80
    Stations
    1.75
    Activations Density 0.160%

    No Known Activations