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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. 6-RES-JB
    6. 8158
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    Explanations

    the phrase "day to day"

    oai_token-act-pair · gpt-3.5-turbo

    references to daily life experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.84
    arts
    -0.76
     Starts
    -0.69
    OTUS
    -0.68
    POST
    -0.67
    jon
    -0.66
    went
    -0.66
    art
    -0.65
     THEN
    -0.64
    iov
    -0.64
    POSITIVE LOGITS
     metab
    0.73
     variability
    0.71
     accessibility
    0.68
    ascript
    0.66
     visitation
    0.65
     interactions
    0.65
    etheless
    0.64
     fulfil
    0.62
    uracy
    0.61
     advis
    0.61
    Activations Density 0.059%

    No Known Activations