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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. 13793
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    Explanations

    words related to containers, particularly capsules

    oai_token-act-pair · gpt-3.5-turbo

    references to time capsules and related terms

    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
    atio
    -0.76
    onder
    -0.71
     Episcopal
    -0.68
     chops
    -0.67
     Sabbath
    -0.66
    uments
    -0.65
    leys
    -0.65
    uable
    -0.64
    book
    -0.63
    books
    -0.63
    POSITIVE LOGITS
    ã
    0.78
    ertodd
    0.76
    eus
    0.75
    eco
    0.74
     Tonight
    0.73
    halla
    0.72
    BLE
    0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.69
    ournal
    0.68
    ITAL
    0.68
    Activations Density 0.039%

    No Known Activations