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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. 5-RES-JB
    6. 6427
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    Explanations

    statements involving expert opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate expert opinions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ILCS
    -0.89
    WithNo
    -0.78
     Himself
    -0.73
    ãĥĺ
    -0.71
    à¤
    -0.68
    ONSORED
    -0.68
    =~=~
    -0.66
    TAG
    -0.65
    ãģ£
    -0.65
    Interstitial
    -0.64
    POSITIVE LOGITS
     alike
    0.78
     seq
    0.75
     departures
    0.73
    vae
    0.69
    orians
    0.68
    selves
    0.68
     anecd
    0.66
     Rao
    0.62
    uti
    0.61
    hran
    0.60
    Activations Density 0.221%

    No Known Activations