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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. 6802
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    Explanations

    mathematical expressions and codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical and financial data

    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
     guiName
    -1.01
    etheless
    -0.81
    [/
    -0.59
    Dialogue
    -0.58
     showc
    -0.58
    ãĢIJ
    -0.57
    VERTISEMENT
    -0.56
    ãĢİ
    -0.56
    gencies
    -0.56
    answered
    -0.55
    POSITIVE LOGITS
    )
    1.84
    )"
    1.77
    )."
    1.74
    ),
    1.72
    ),"
    1.72
    ?)
    1.68
    )'
    1.67
    )",
    1.64
    )|
    1.64
    )-
    1.63
    Activations Density 0.885%

    No Known Activations