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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. 8-RES-JB
    6. 15815
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    Explanations

    time durations related to personal experiences or events

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gall
    -0.68
    egu
    -0.66
    values
    -0.64
    raviolet
    -0.61
    Redd
    -0.61
    cheat
    -0.61
    alg
    -0.60
    Ry
    -0.60
    ocl
    -0.59
    rote
    -0.59
    POSITIVE LOGITS
     apiece
    0.99
     consecut
    0.99
     ago
    0.92
     uninterrupted
    0.90
     thereafter
    0.88
     straight
    0.87
     consecutive
    0.87
     afterward
    0.85
    ruary
    0.83
    until
    0.82
    Activations Density 0.104%

    No Known Activations