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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. 19849
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    INDEX
    Explanations

    phrases indicating expectation or lack thereof

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a lack of surprise or unexpectedness

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nels
    -0.72
     Logged
    -0.67
    abulary
    -0.61
    audi
    -0.60
    nis
    -0.59
     Suns
    -0.59
    tery
    -0.59
     gou
    -0.58
    heastern
    -0.56
    ouf
    -0.56
    POSITIVE LOGITS
     surprise
    0.82
    actionDate
    0.73
     shock
    0.70
    ENSE
    0.69
    ream
    0.65
    rection
    0.64
    azes
    0.64
    ratulations
    0.63
     though
    0.63
    card
    0.62
    Activations Density 0.068%

    No Known Activations