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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. 15650
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    INDEX
    Explanations

    terms related to beliefs, assumptions, and acknowledgments

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express common beliefs or widely held views

    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
    bound
    -0.69
    ĪĴ
    -0.66
    adra
    -0.65
    alos
    -0.64
    ubi
    -0.62
    Correction
    -0.59
    kay
    -0.59
    pan
    -0.58
    agraph
    -0.58
    manent
    -0.58
    POSITIVE LOGITS
    isSpecialOrderable
    0.84
     underestimate
    0.77
     Occupations
    0.75
     skept
    0.74
    Synopsis
    0.71
     internationally
    0.67
    STD
    0.65
     taboo
    0.65
     amongst
    0.63
     derog
    0.63
    Activations Density 0.172%

    No Known Activations