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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17115
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    INDEX
    Explanations

    phrases indicating a collaborative action or agreement

    oai_token-act-pair · gpt-3.5-turbo

    the word "We" indicating collective perspective or shared experiences

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    INGTON
    -0.62
     PUBLIC
    -0.62
     LSD
    -0.62
     Publication
    -0.61
     gratification
    -0.61
     quo
    -0.60
     steroids
    -0.59
    nesota
    -0.59
    cum
    -0.57
    uates
    -0.56
    POSITIVE LOGITS
    're
    1.09
    've
    1.08
    asel
    1.04
    'll
    1.02
    IRD
    0.99
    bsite
    0.96
    selves
    0.94
    ldon
    0.91
    ighed
    0.91
    athered
    0.89
    Activations Density 0.228%

    No Known Activations