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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 12801
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    Explanations

    numerical scores or statistics

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics and data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiName
    -0.76
    orem
    -0.65
     satell
    -0.59
    plin
    -0.58
    equality
    -0.57
    iewicz
    -0.57
    merce
    -0.57
     autonom
    -0.55
     ."
    -0.54
     compr
    -0.54
    POSITIVE LOGITS
    %)
    1.73
    %),
    1.50
    +)
    1.43
    )/
    1.39
    %).
    1.39
    )
    1.38
    )=
    1.36
    ),"
    1.34
    ):
    1.33
    )!
    1.32
    Activations Density 0.098%

    No Known Activations