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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. 7-RES-JB
    6. 4321
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    INDEX
    Explanations

    dates in a particular format

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with significant events or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dissu
    -0.66
    itters
    -0.64
    utical
    -0.63
     sacrificing
    -0.60
     deceived
    -0.59
    esty
    -0.59
     doct
    -0.58
     whine
    -0.58
     underestimate
    -0.58
     temptation
    -0.58
    POSITIVE LOGITS
    Contents
    1.05
    ³³³³³³³³³³³³³³³³
    1.03
    ³³³³
    1.03
    ³³³
    1.02
    ³³³³³³³³
    0.94
    Born
    0.88
    ccording
    0.88
    Trivia
    0.85
    History
    0.79
    SPONSORED
    0.79
    Activations Density 0.463%

    No Known Activations