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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. 3-RES-JB
    6. 14625
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    INDEX
    Explanations

    terms related to well-being and happiness

    oai_token-act-pair · gpt-3.5-turbo

    references to well-being and its associated practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - joy

    No Comments

    Negative Logits
     tiss
    -0.65
    ulla
    -0.64
    oslov
    -0.63
     racks
    -0.63
     Lilly
    -0.62
    NetMessage
    -0.61
     rack
    -0.61
    ERY
    -0.60
     Ey
    -0.58
    PLA
    -0.58
    POSITIVE LOGITS
     able
    0.76
    Angelo
    0.74
    packs
    0.71
     mindful
    0.69
     bearer
    0.69
    ipolar
    0.68
    held
    0.67
    Unit
    0.65
    iverse
    0.65
     endowed
    0.64
    Activations Density 0.038%

    No Known Activations