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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. 5-RES-JB
    6. 22804
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    Explanations

    references related to financial events such as Initial Public Offerings (IPOs) and Initial Coin Offerings (ICOs)

    oai_token-act-pair · gpt-3.5-turbo

    references to financial terms and events, particularly related to IPOs and ICOs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nia
    -0.88
    izard
    -0.72
    meal
    -0.72
    igue
    -0.68
    KN
    -0.66
    kn
    -0.66
    ife
    -0.66
    wright
    -0.66
    Nap
    -0.66
    ikes
    -0.66
    POSITIVE LOGITS
    inarily
    0.79
     Reloaded
    0.78
    regor
    0.76
    ONSORED
    0.76
     commencement
    0.73
    ð
    0.72
     IPO
    0.72
     Skydragon
    0.71
    ynasty
    0.70
    rained
    0.69
    Activations Density 0.041%

    No Known Activations