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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 7711
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    Explanations

    Related to programming and computer terminology, specifically focusing on terms such as "Google," "government," and technical jargon

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases associated with government and online platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    catentry
    -0.70
    ©¶æ
    -0.65
    channelAvailability
    -0.64
     guiActiveUn
    -0.64
    Pear
    -0.62
    ãĥł
    -0.61
     Pwr
    -0.61
    ection
    -0.58
     Chapman
    -0.58
    pite
    -0.58
    POSITIVE LOGITS
    warm
    0.73
    lers
    0.69
    vernment
    0.69
    lems
    0.68
    lem
    0.65
    nen
    0.65
    uld
    0.65
    ahead
    0.65
    arent
    0.64
    acht
    0.61
    Activations Density 0.065%

    No Known Activations