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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. 1-RES-JB
    6. 12728
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    INDEX
    Explanations

    names of locations, cities, and people

    oai_token-act-pair · gpt-3.5-turbo

    names of specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -1.04
     blockers
    -0.79
    ribune
    -0.75
    lighting
    -0.74
    ricanes
    -0.72
    rib
    -0.70
    ters
    -0.69
    terness
    -0.68
     Pradesh
    -0.68
    bos
    -0.67
    POSITIVE LOGITS
    yrics
    0.87
    ovie
    0.79
    erous
    0.78
     Parm
    0.71
     Maz
    0.69
    atures
    0.69
     Dodd
    0.67
    ATURE
    0.66
    FTWARE
    0.66
     Muse
    0.65
    Activations Density 0.024%

    No Known Activations