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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. 8-RES-JB
    6. 14749
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    INDEX
    Explanations

    lead researchers and investigators mentioned in research studies or investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to academic research and its authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whine
    -0.67
    hhhh
    -0.67
     stale
    -0.66
     nig
    -0.64
    hhh
    -0.64
     cripp
    -0.63
     hurting
    -0.63
    eeee
    -0.63
     fireplace
    -0.63
     flourished
    -0.63
    POSITIVE LOGITS
     research
    0.89
    study
    0.85
    earch
    0.80
     advisory
    0.78
     studies
    0.78
     pioneering
    0.78
     study
    0.77
     groundbreaking
    0.77
    earcher
    0.75
    doctoral
    0.74
    Activations Density 0.305%

    No Known Activations