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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. 5-RES-JB
    6. 8553
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    INDEX
    Explanations

    phrases related to accidental events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "accidentally" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nosis
    -0.73
    riors
    -0.73
    ciating
    -0.70
    houses
    -0.69
    markets
    -0.69
    raph
    -0.69
    ETF
    -0.68
     conferences
    -0.65
    tier
    -0.65
    ophy
    -0.64
    POSITIVE LOGITS
    idental
    0.92
     accidentally
    0.92
     unintentionally
    0.89
     accidental
    0.88
     inadvert
    0.85
    identally
    0.85
     unintentional
    0.81
     inadvertently
    0.80
    aneous
    0.78
    ãĥĻ
    0.76
    Activations Density 0.025%

    No Known Activations