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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. 3-RES-JB
    6. 13680
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    Explanations

    keywords related to misinformation or inaccuracies

    oai_token-act-pair · gpt-3.5-turbo

    instances of high numerical values or scores in the context of action or compliance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     endeavour
    -0.67
    utical
    -0.66
    igi
    -0.63
     equip
    -0.62
    earch
    -0.61
     assignment
    -0.61
     undermin
    -0.61
     Shinra
    -0.58
     Reincarnated
    -0.58
     deceived
    -0.58
    POSITIVE LOGITS
    ³³³³
    0.99
    ³³³³³³³³³³³³³³³³
    0.92
    ³³³³³³³³
    0.86
    SPONSORED
    0.85
    ³³³
    0.85
    Newsletter
    0.83
    ³³
    0.81
    Commercial
    0.80
    Writing
    0.77
    Posted
    0.76
    Activations Density 1.001%

    No Known Activations