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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. 11717
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    Explanations

    specific athlete names and event details

    oai_token-act-pair · gpt-3.5-turbo

    numerical rankings or statistics, particularly in the context of sports or events

    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
    -0.77
    merce
    -0.71
    izzle
    -0.69
     satell
    -0.67
    ilater
    -0.63
    ĵĺ
    -0.62
    spread
    -0.60
    ensable
    -0.60
    galitarian
    -0.59
     calcul
    -0.59
    POSITIVE LOGITS
    %)
    1.49
    +)
    1.36
    %),
    1.34
    )/
    1.33
    )
    1.31
    ),"
    1.29
    )=
    1.27
    )"
    1.21
    ),
    1.20
    )."
    1.18
    Activations Density 0.096%

    No Known Activations