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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. 14702
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    references to specific bicycle components and maintenance practices

    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
    xiety
    -0.38
     esercit
    -0.38
    gsSP
    -0.38
     <<<<<<<<<<<<<<
    -0.38
     Caster
    -0.38
     colic
    -0.38
    ofia
    -0.37
     Tractor
    -0.37
     Tot
    -0.37
     Cil
    -0.36
    POSITIVE LOGITS
     dropper
    0.55
     fork
    0.51
     dera
    0.47
     derail
    0.47
    SRAM
    0.47
    发表于
    0.47
     forks
    0.46
     nakalista
    0.45
     SRAM
    0.44
     cuadro
    0.43
    Activations Density 0.170%

    No Known Activations