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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. 9779
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    INDEX
    Explanations

    words related to discussions, opinions, and activities within specific communities

    oai_token-act-pair · gpt-3.5-turbo

    references to communities or specific groups

    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
    blem
    -0.77
    Weapons
    -0.74
    Lua
    -0.67
    falls
    -0.64
    anas
    -0.64
    errors
    -0.64
    Christmas
    -0.64
     whilst
    -0.62
     valves
    -0.61
    Shares
    -0.61
    POSITIVE LOGITS
     vicinity
    1.24
     audience
    1.22
     community
    0.95
     region
    0.90
     neighborhood
    0.87
     area
    0.86
     profession
    0.85
     workforce
    0.85
     privileged
    0.85
     field
    0.84
    Activations Density 0.141%

    No Known Activations