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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 24154
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    Explanations

    terms related to computer programming, specifically focusing on asynchronous operations and related concepts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to asynchronous operations and oxidative stress in technology and health contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istani
    -0.84
    DEN
    -0.79
    PET
    -0.76
    sburgh
    -0.74
    CENT
    -0.72
    inals
    -0.70
    ris
    -0.70
    mes
    -0.69
    rant
    -0.68
    Root
    -0.68
    POSITIVE LOGITS
    ilee
    0.77
    mith
    0.75
    urst
    0.70
     await
    0.70
    yk
    0.69
     oun
    0.69
    hirt
    0.68
    isner
    0.67
    achus
    0.67
    erker
    0.66
    Activations Density 0.039%

    No Known Activations