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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. 4-RES-JB
    6. 21328
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    Explanations

    phrases related to efforts to prevent negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "stymie" and related concepts of hindrance or obstruction

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

    No Comments

    Negative Logits
    catentry
    -0.78
     DRAG
    -0.68
     herald
    -0.65
    ITNESS
    -0.65
     Administ
    -0.64
    FontSize
    -0.63
    ternity
    -0.63
     timelines
    -0.62
     timeline
    -0.61
    irlf
    -0.60
    POSITIVE LOGITS
    helm
    0.88
    warts
    0.86
    ggle
    0.85
    wart
    0.81
    iasis
    0.80
    bery
    0.79
    gered
    0.79
    ulence
    0.79
    ulent
    0.79
     Gupta
    0.77
    Activations Density 0.038%

    No Known Activations