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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. 9-RES-JB
    6. 16856
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    Explanations

    details related to durations (specifically numbers followed by "years"), particularly in various contexts such as career achievements, sports, and studies

    oai_token-act-pair · gpt-3.5-turbo

    references to time spent in positions or locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Editors
    -0.73
    selves
    -0.67
     secondly
    -0.60
    lly
    -0.58
    ulence
    -0.58
    imentary
    -0.57
    mith
    -0.56
     yourselves
    -0.55
     ILCS
    -0.55
    wcsstore
    -0.55
    POSITIVE LOGITS
     captivity
    1.02
    prison
    0.83
     helm
    0.82
     fame
    0.73
     limbo
    0.73
    OVA
    0.68
     obscurity
    0.67
     Hogwarts
    0.67
     office
    0.66
     Wonderland
    0.65
    Activations Density 0.272%

    No Known Activations