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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. 6-RES-JB
    6. 21586
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    INDEX
    Explanations

    references to professionals or professionalism

    oai_token-act-pair · gpt-3.5-turbo

    mentions of professionalism and related professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edin
    -0.88
    ĸļ
    -0.78
    apo
    -0.75
    tags
    -0.73
    ource
    -0.67
    doors
    -0.66
    adr
    -0.65
     Wick
    -0.65
     Twain
    -0.64
    LIB
    -0.64
    POSITIVE LOGITS
     wrestler
    1.07
     athlete
    1.02
    digy
    1.00
     athletes
    0.97
     footballer
    0.96
     wrestling
    0.94
     Wrest
    0.90
     gol
    0.89
    ized
    0.87
     Wrestling
    0.85
    Activations Density 0.025%

    No Known Activations