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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. 1-RES-JB
    6. 19660
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    Explanations

    words related to quotations or phrases emphasized in quotes

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and phrases enclosed in them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    allery
    -0.48
    chuk
    -0.42
    idated
    -0.40
    uilt
    -0.37
    ividual
    -0.36
    abee
    -0.36
    idth
    -0.36
    elve
    -0.35
    arsity
    -0.35
    ividually
    -0.34
    POSITIVE LOGITS
    NetMessage
    0.59
    etheless
    0.49
    ĵĺ
    0.44
     largeDownload
    0.40
    natureconservancy
    0.40
    terness
    0.39
    Ĥİ
    0.39
     WATCHED
    0.38
    CVE
    0.37
     DRAGON
    0.36
    Activations Density 1.258%

    No Known Activations