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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. 4-RES-JB
    6. 8873
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    Explanations

    adjectives related to reliability

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of reliability

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

    No Comments

    Negative Logits
    owitz
    -0.86
    horn
    -0.83
    ften
    -0.80
    agall
    -0.78
    ifling
    -0.77
    amaru
    -0.75
    mare
    -0.74
    ophy
    -0.74
    eanor
    -0.73
    onia
    -0.72
    POSITIVE LOGITS
     reliability
    1.12
     reliable
    1.12
    iability
    0.95
     unreliable
    0.95
     estim
    0.90
    iable
    0.88
     trustworthy
    0.87
     sust
    0.85
     narrator
    0.84
     intervals
    0.81
    Activations Density 0.020%

    No Known Activations