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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. 13508
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    INDEX
    Explanations

    numerical data such as quantities and percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical changes or statistics related to growth or decline over time

    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
    âĹ¼
    -0.75
    Asset
    -0.69
    "))
    -0.67
     nonetheless
    -0.66
    erman
    -0.65
    nesota
    -0.65
    »Ĵ
    -0.64
    Lens
    -0.62
    edi
    -0.62
    æĸ¹
    -0.61
    POSITIVE LOGITS
     standpoint
    1.06
     onwards
    0.96
     perspective
    0.76
     inception
    0.75
     perspectives
    0.72
     onward
    0.71
    ratch
    0.70
     viewpoint
    0.69
     vantage
    0.69
     beginnings
    0.65
    Activations Density 0.333%

    No Known Activations