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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 898
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    Explanations

    descriptions related to the adjective "wild"

    oai_token-act-pair · gpt-3.5-turbo

    repeated usage of the term "wild" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adr
    -0.87
    uyomi
    -0.87
    velength
    -0.76
    aminer
    -0.73
     Reincarnated
    -0.70
    ASED
    -0.70
    uting
    -0.68
    poral
    -0.68
    utical
    -0.65
    arians
    -0.65
    POSITIVE LOGITS
    erness
    1.53
    cat
    1.04
    cats
    1.01
    flower
    1.00
    er
    0.98
    lings
    0.94
    abouts
    0.91
    fl
    0.90
    card
    0.89
     oats
    0.89
    Activations Density 0.029%

    No Known Activations