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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. 10-RES-JB
    6. 15311
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    INDEX
    Explanations

    instances where actions are being taken or potential outcomes are being considered

    oai_token-act-pair · gpt-3.5-turbo

    qualifying adverbs that indicate uncertainty or variability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ayers
    -0.82
    acas
    -0.73
    itter
    -0.72
    achev
    -0.71
    ierrez
    -0.71
    kees
    -0.70
    Ĥİ
    -0.69
    ente
    -0.69
    atched
    -0.68
    iren
    -0.68
    POSITIVE LOGITS
     outright
    0.94
     downright
    0.89
     even
    0.85
     entire
    0.74
     assassinate
    0.73
     entirety
    0.67
     worse
    0.67
     fatally
    0.65
     whole
    0.63
     vice
    0.63
    Activations Density 0.160%

    No Known Activations