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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. 22328
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    Explanations

    claims or statements of ownership

    oai_token-act-pair · gpt-3.5-turbo

    claims made by individuals or entities

    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
    ersen
    -0.68
    hens
    -0.66
    YC
    -0.65
    oyer
    -0.64
    gam
    -0.64
    ioch
    -0.63
    mitt
    -0.63
    aldi
    -0.62
    storms
    -0.62
    FG
    -0.62
    POSITIVE LOGITS
    Downloadha
    0.93
     innocence
    0.82
     authenticity
    0.79
     sqor
    0.75
     paranormal
    0.70
     fabricated
    0.70
     supernatural
    0.70
     specificity
    0.69
    ĪĴ
    0.69
     deduction
    0.68
    Activations Density 0.200%

    No Known Activations