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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. 23214
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    oai_token-act-pair · gpt-3.5-turbo

    unique characters or symbols in different languages or formats

    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
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    Negative Logits
    xual
    -0.60
    feature
    -0.52
     tremend
    -0.51
     hunger
    -0.50
    undown
    -0.48
     Nad
    -0.48
    Ö¼
    -0.48
    ensical
    -0.48
    iane
    -0.48
     genders
    -0.48
    POSITIVE LOGITS
    steamapps
    0.62
    ombo
    0.59
    utra
    0.56
    ornia
    0.55
    ibal
    0.54
    wagen
    0.52
    dq
    0.52
    asionally
    0.51
    itent
    0.51
    chuk
    0.51
    Activations Density 1.206%

    No Known Activations