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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. 6-RES-JB
    6. 23296
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    Explanations

    names and titles related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter "r."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.80
    e
    -0.67
    creen
    -0.67
     cov
    -0.66
    £ı
    -0.64
    eas
    -0.63
    lace
    -0.62
     EntityItem
    -0.61
     largeDownload
    -0.59
     Winds
    -0.58
    POSITIVE LOGITS
    abbit
    1.25
    ussia
    1.24
    angers
    1.15
    acing
    1.14
    ific
    1.13
    ansom
    1.11
    ifts
    1.10
    agnar
    1.09
    achel
    1.08
    outine
    1.06
    Activations Density 0.038%

    No Known Activations