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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. 5924
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    Explanations

    dates and numbers

    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical values associated with them

    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
    cientious
    -0.73
    laim
    -0.67
    aminer
    -0.67
    esse
    -0.65
    intend
    -0.64
    rider
    -0.64
     Watts
    -0.63
    endo
    -0.62
    ducers
    -0.62
    uchs
    -0.62
    POSITIVE LOGITS
    د
    0.72
    argo
    0.67
    ADRA
    0.64
     Kraken
    0.63
    ;;;;;;;;;;;;
    0.61
    Tokens
    0.61
    ij士
    0.61
     coasts
    0.59
    isin
    0.59
     drills
    0.58
    Activations Density 0.299%

    No Known Activations