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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14734
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    references to model saving and loading techniques in machine learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.50
    RTSC
    -0.48
    RTLR
    -0.48
    IBOutlet
    -0.47
     Pelle
    -0.47
     Jacoby
    -0.46
    Gambas
    -0.45
    vige
    -0.45
    phic
    -0.45
    rdom
    -0.44
    POSITIVE LOGITS
     trained
    0.62
     train
    0.59
     checkpoint
    0.59
     checkpoints
    0.59
     model
    0.53
     Trained
    0.51
     epoch
    0.51
     save
    0.50
     experiment
    0.47
     best
    0.47
    Activations Density 0.148%

    No Known Activations