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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. 9978
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    INDEX
    Explanations

    mentions of specific events and organizations

    oai_token-act-pair · gpt-3.5-turbo

    content related to specific events or activities

    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
    [_
    -0.52
    Sov
    -0.47
    entimes
    -0.45
    ographically
    -0.45
    odynam
    -0.45
    imately
    -0.44
    olicy
    -0.43
    endi
    -0.42
    ographical
    -0.42
    ittees
    -0.41
    POSITIVE LOGITS
     UNITED
    0.44
     MEN
    0.43
     Quit
    0.38
     GN
    0.36
     MID
    0.35
     ARM
    0.35
     CFR
    0.35
     Gorge
    0.35
     CST
    0.34
     formerly
    0.34
    Activations Density 5.147%

    No Known Activations