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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. 17858
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    Explanations

    words related to time, particularly references to the upcoming year

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, particularly the upcoming year

    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
    gotten
    -0.91
    esse
    -0.69
    uese
    -0.66
    ById
    -0.65
    nered
    -0.64
    76561
    -0.63
    ocker
    -0.62
    apsed
    -0.60
     anecd
    -0.59
     Dys
    -0.59
    POSITIVE LOGITS
     onwards
    0.70
    ruary
    0.69
    lins
    0.68
    mie
    0.67
    fw
    0.66
    Learn
    0.66
     2019
    0.65
    iatus
    0.65
    å§«
    0.64
    cture
    0.62
    Activations Density 0.039%

    No Known Activations