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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. 3-RES-JB
    6. 18977
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    Explanations

    important dates

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "At" followed by numerical values or references to time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FTWARE
    -0.77
    Tube
    -0.70
    aceutical
    -0.69
    powder
    -0.68
    alpha
    -0.65
    hops
    -0.63
    biased
    -0.62
    tools
    -0.61
     thereof
    -0.60
    clean
    -0.59
    POSITIVE LOGITS
     least
    1.16
    hens
    0.88
    chieve
    0.87
    mosp
    0.85
    kinson
    0.85
    ention
    0.83
    abase
    0.81
    apult
    0.79
    las
    0.79
     times
    0.78
    Activations Density 0.073%

    No Known Activations