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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. 7-RES-JB
    6. 17357
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    Explanations

    words related to attracting people or things

    oai_token-act-pair · gpt-3.5-turbo

    words related to attracting or drawing in people, resources, or attention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jab
    -0.69
     Oops
    -0.66
    deen
    -0.64
    itcher
    -0.63
    nia
    -0.63
    chens
    -0.63
     Factory
    -0.58
     procedure
    -0.58
    miah
    -0.56
     forearm
    -0.56
    POSITIVE LOGITS
     attention
    0.92
    entious
    0.80
     unwanted
    0.76
    GGGGGGGG
    0.75
     crowds
    0.74
    Reviewer
    0.74
    tails
    0.72
    glers
    0.71
     pige
    0.71
     attract
    0.70
    Activations Density 0.037%

    No Known Activations