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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1202
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    Explanations

    references to specific individuals or characters named "Ram" along with discussions about media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    굳
    -0.42
    Grüße
    -0.41
     prospects
    -0.39
     childhood
    -0.38
     straw
    -0.37
     Schmitz
    -0.36
     Adkins
    -0.36
     spē
    -0.36
     especially
    -0.36
     trick
    -0.36
    POSITIVE LOGITS
    WebElementEntity
    0.75
     ram
    0.73
    organised
    0.73
     organise
    0.70
     RAM
    0.70
    Organizing
    0.70
    Ram
    0.70
     Ram
    0.69
     organising
    0.69
    RAM
    0.69
    Activations Density 0.235%

    No Known Activations