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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. 7108
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    INDEX
    Explanations

    mentions of a specific institution or location, specifically "Carleton."

    oai_token-act-pair · gpt-3.5-turbo

    references to specific educational institutions

    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
    gets
    -0.77
    acca
    -0.77
    elf
    -0.76
    fixes
    -0.74
    ging
    -0.73
    mond
    -0.69
    haw
    -0.69
    agger
    -0.69
    arcity
    -0.69
    boat
    -0.68
    POSITIVE LOGITS
    gomery
    0.82
     Lauder
    0.80
    leton
    0.75
     Grove
    0.71
     Pradesh
    0.68
     blades
    0.66
     Confederation
    0.65
    izabeth
    0.65
    Leaks
    0.65
    ANN
    0.65
    Activations Density 0.045%

    No Known Activations