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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. 12304
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of regulatory requirements and legal conditions

    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
    terday
    -0.76
     himself
    -0.72
    ĸļ
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     herself
    -0.65
     midway
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    ushi
    -0.64
     shores
    -0.64
     everywhere
    -0.63
    ensical
    -0.63
     halfway
    -0.63
    POSITIVE LOGITS
    Example
    1.13
    Examples
    1.05
    âĵĺ
    1.04
    NOTE
    1.02
    Methods
    0.99
    Disclaimer
    0.96
    Usage
    0.95
    Returns
    0.95
    rawdownloadcloneembedreportprint
    0.94
    Trivia
    0.94
    Activations Density 0.463%

    No Known Activations