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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. 2773
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    Explanations

    dates in the format "Month Year" and numbers written in ordinal form

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and references to years

    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
    inki
    -0.69
    iland
    -0.58
    furt
    -0.57
    ãĥ¼ãĥĨ
    -0.53
    aline
    -0.53
    ĪĴ
    -0.52
     redes
    -0.51
    urat
    -0.50
    uras
    -0.49
    TEXTURE
    -0.48
    POSITIVE LOGITS
    hospital
    0.58
    scl
    0.58
    gov
    0.49
    ilts
    0.46
    daughter
    0.46
    ROR
    0.46
     Jury
    0.46
     Cyrus
    0.46
    oshenko
    0.45
    é¾į
    0.44
    Activations Density 1.642%

    No Known Activations