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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. 6-RES-JB
    6. 3290
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    Explanations

    text related to technical details, specifications, or items in a list

    oai_token-act-pair · gpt-3.5-turbo

    technical terms and measurements related to aviation and military equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.99
    etheless
    -0.68
    [/
    -0.57
    wcs
    -0.52
    foreseen
    -0.49
     showc
    -0.47
    ãĢİ
    -0.47
    answered
    -0.46
    ":[{"
    -0.46
    ãĢIJ
    -0.45
    POSITIVE LOGITS
    )
    1.64
    ?)
    1.58
    ),"
    1.56
    ),
    1.55
    )"
    1.55
    !)
    1.54
    )."
    1.52
    )!
    1.50
    ).
    1.49
    )-
    1.48
    Activations Density 1.048%

    No Known Activations