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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. 5589
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    Explanations

    keywords related to user management in a software development context

    oai_token-act-pair · gpt-3.5-turbo

    references to users or user management in a database context

    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
    hovah
    -0.73
    SourceFile
    -0.72
     Baptist
    -0.71
     Sacrament
    -0.70
    amer
    -0.67
    erella
    -0.66
    tackle
    -0.63
    forth
    -0.63
     Vaugh
    -0.63
     unfocusedRange
    -0.62
    POSITIVE LOGITS
     interface
    1.04
     interfaces
    1.02
    interface
    0.99
     Interface
    0.85
    atical
    0.77
    Interface
    0.76
    Agent
    0.76
    base
    0.75
    hattan
    0.74
    GUI
    0.73
    Activations Density 0.020%

    No Known Activations