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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. 15276
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    Explanations

    references to Microsoft Azure and Office 365 in relation to enterprise services

    oai_token-act-pair · gpt-3.5-turbo

    references to specific Microsoft Azure services and features

    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
    abl
    -0.90
    ented
    -0.82
    uador
    -0.79
    icho
    -0.76
    aped
    -0.75
    andal
    -0.75
    ersion
    -0.75
    uked
    -0.72
    oly
    -0.72
    oppable
    -0.72
    POSITIVE LOGITS
     Marketplace
    0.78
     Azure
    0.73
     365
    0.68
    vernment
    0.68
     Active
    0.67
     concess
    0.66
     Directorate
    0.66
    fter
    0.65
     Unlimited
    0.64
    lish
    0.64
    Activations Density 0.038%

    No Known Activations