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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. 366
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    INDEX
    Explanations

    references to steel production or steel-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to steel and related products in various contexts

    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
    yip
    -0.73
     Kard
    -0.69
    uate
    -0.68
     NCT
    -0.66
    etheless
    -0.66
    cffffcc
    -0.65
    aminer
    -0.65
     Suc
    -0.64
     nonpartisan
    -0.64
    oft
    -0.63
    POSITIVE LOGITS
    Series
    1.32
    workers
    1.24
    worker
    1.16
    works
    1.13
     wool
    0.95
    working
    0.90
    heart
    0.90
    clad
    0.89
    steel
    0.89
    anguage
    0.88
    Activations Density 0.016%

    No Known Activations