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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. 4009
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    Explanations

    dates or events being commemorated or celebrated

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significant milestones or commemorative events

    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
    ettel
    -0.69
     hyster
    -0.64
     brut
    -0.62
    ortex
    -0.61
    iolet
    -0.60
     dstg
    -0.60
    anooga
    -0.59
     fielded
    -0.59
    urus
    -0.58
    iltration
    -0.57
    POSITIVE LOGITS
    manship
    1.01
    eting
    0.85
     marking
    0.83
    down
    0.81
     Twain
    0.78
    ãĤ°
    0.76
    angelo
    0.76
    erness
    0.75
    mast
    0.75
    owitz
    0.75
    Activations Density 0.013%

    No Known Activations