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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. 6-RES-JB
    6. 9995
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    Explanations

    positive expressions of satisfaction or joy

    oai_token-act-pair · gpt-3.5-turbo

    positive expressions of emotion or satisfaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - joy

    No Comments

    Negative Logits
    arettes
    -0.71
     trailed
    -0.68
    VERTISEMENT
    -0.65
    hang
    -0.64
    limits
    -0.63
    heat
    -0.63
    uyomi
    -0.63
    rawled
    -0.62
    ngth
    -0.62
    cum
    -0.62
    POSITIVE LOGITS
     fortunate
    0.69
     congratulate
    0.67
    roud
    0.67
    rix
    0.67
    dy
    0.66
    fully
    0.64
     Parish
    0.64
     welcome
    0.63
    Congratulations
    0.62
    wic
    0.62
    Activations Density 0.074%

    No Known Activations