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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. 8644
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    Explanations

    references to articles or written content

    oai_token-act-pair · gpt-3.5-turbo

    references to articles or pages

    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
    seys
    -0.68
    sbm
    -0.68
    sed
    -0.66
     warranties
    -0.65
     selves
    -0.62
     Maid
    -0.62
     stripes
    -0.61
     oneself
    -0.61
    abl
    -0.61
     speeches
    -0.61
    POSITIVE LOGITS
     adapted
    0.74
     grate
    0.66
     appl
    0.64
    adapt
    0.62
    ittee
    0.62
    rep
    0.61
    gha
    0.61
    REC
    0.60
    ground
    0.59
    land
    0.59
    Activations Density 0.074%

    No Known Activations