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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. 9790
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    Explanations

    occurrences of the word "squ" and its variations, indicating a pattern related to squeezing or squashing actions

    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
     ujednoznacz
    -0.49
    Дереккөздер
    -0.46
     transfieras
    -0.38
    tvguidetime
    -0.36
    飘
    -0.36
    IVEREF
    -0.35
     utafitiHapana
    -0.35
     Raft
    -0.35
    TagHelper
    -0.34
    centes
    -0.34
    POSITIVE LOGITS
     compression
    2.41
     compressed
    2.25
     compress
    2.23
     Compression
    2.17
    compression
    2.02
     squeezing
    1.99
     squeeze
    1.98
    Compression
    1.96
     squeezed
    1.93
    compressed
    1.88
    Activations Density 0.796%

    No Known Activations