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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. 9-RES-JB
    6. 13111
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    Explanations

    phrases containing the word "part"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific parts or components in a broader context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commissions
    -0.69
    berus
    -0.67
     Skies
    -0.66
    culosis
    -0.66
    gently
    -0.66
    jriwal
    -0.62
     millenn
    -0.61
     Arms
    -0.59
    hammad
    -0.58
    ãĤī
    -0.58
    POSITIVE LOGITS
    ridges
    1.12
    ridge
    1.09
    icular
    1.02
    ials
    1.01
    iers
    0.94
    aking
    0.91
    icle
    0.87
    uring
    0.81
    meal
    0.81
    icles
    0.80
    Activations Density 0.048%

    No Known Activations