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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. 2-RES-JB
    6. 16492
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    INDEX
    Explanations

    adjectives indicating extremeness or intensity

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers that emphasize the degree of something being described

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osal
    -0.69
    enegger
    -0.68
     Bei
    -0.66
    è¦ļéĨĴ
    -0.63
    ourses
    -0.62
     Tanz
    -0.61
    ioch
    -0.60
     Xeon
    -0.59
     OC
    -0.59
     OW
    -0.59
    POSITIVE LOGITS
    technical
    0.81
    very
    0.81
    STEM
    0.81
    icult
    0.79
    interesting
    0.76
     informative
    0.75
    much
    0.75
    geoning
    0.71
     technical
    0.69
    -----------
    0.69
    Activations Density 0.015%

    No Known Activations