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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. 7-RES-JB
    6. 4330
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    Explanations

    phrases related to cooking instructions

    oai_token-act-pair · gpt-3.5-turbo

    strong affirmative language related to effectiveness or ease

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -1.01
    etheless
    -0.73
    foreseen
    -0.50
    ãĢİ
    -0.49
    [/
    -0.48
    ":[{"
    -0.47
    wcs
    -0.47
    luster
    -0.47
     showc
    -0.45
    accompan
    -0.45
    POSITIVE LOGITS
    )
    1.71
    ?)
    1.60
    )"
    1.59
    ),
    1.57
    !)
    1.56
    ),"
    1.54
    )?
    1.50
    ):
    1.50
    )|
    1.49
    )-
    1.49
    Activations Density 0.874%

    No Known Activations