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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. 8-RES-JB
    6. 2908
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    Explanations

    references to physical locations or areas

    oai_token-act-pair · gpt-3.5-turbo

    references to various booths or exhibition spaces

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    hed
    -0.89
    itals
    -0.73
     heav
    -0.70
    heed
    -0.67
    ised
    -0.67
    ochond
    -0.65
    eness
    -0.65
    xual
    -0.65
    acus
    -0.64
    thodox
    -0.64
    POSITIVE LOGITS
    swer
    0.85
     booth
    0.77
    Slot
    0.74
    wagon
    0.69
     Tiff
    0.68
    Ĥª
    0.67
    Ħ¢
    0.66
    handler
    0.66
    ureau
    0.65
    igmatic
    0.64
    Activations Density 0.099%

    No Known Activations