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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. 7918
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    Explanations

    specific food items and their descriptions in culinary contexts

    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
    DebuggerNonUser
    -0.63
     kasarigan
    -0.53
    SequentialGroup
    -0.45
     fish
    -0.43
    RegistryLite
    -0.42
    FormTagHelper
    -0.40
     immunos
    -0.39
    Fish
    -0.39
    AutoScale
    -0.39
     fishy
    -0.38
    POSITIVE LOGITS
     steak
    0.74
     beef
    0.69
     Steak
    0.66
     steaks
    0.66
     cattle
    0.66
     cow
    0.65
    steak
    0.65
    🐮
    0.63
     prime
    0.62
     sir
    0.62
    Activations Density 0.223%

    No Known Activations