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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. 1-RES-JB
    6. 16476
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    INDEX
    Explanations

    phrases related to production or creation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "produce" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ser
    -0.82
    sie
    -0.66
    uyomi
    -0.63
    nee
    -0.63
    channel
    -0.62
    hon
    -0.61
    den
    -0.61
     besieged
    -0.60
    udeb
    -0.60
    cas
    -0.59
    POSITIVE LOGITS
    furt
    0.97
    ivity
    0.92
     produce
    0.89
    smanship
    0.87
    urized
    0.87
    女
    0.87
     outputs
    0.86
     produces
    0.84
    Hunt
    0.84
    atoes
    0.84
    Activations Density 0.016%

    No Known Activations