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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. 8756
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    Explanations

    proper nouns related to people's names

    oai_token-act-pair · gpt-3.5-turbo

    words specifically related to the term "ole" or variations thereof

    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
    izoph
    -0.74
    ultan
    -0.73
    ulously
    -0.72
    lished
    -0.70
    é¾
    -0.68
    ensical
    -0.67
    erent
    -0.65
    wcsstore
    -0.64
    è¦ļéĨĴ
    -0.63
    arb
    -0.63
    POSITIVE LOGITS
    tto
    1.37
    tta
    1.28
    tti
    1.28
    cule
    1.17
    lette
    1.12
    cules
    1.08
    cular
    0.97
    ttes
    0.87
    tes
    0.81
    mn
    0.81
    Activations Density 0.021%

    No Known Activations