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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. 10-RES-JB
    6. 19577
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    Explanations

    questions starting with "Do" or "Do you"

    oai_token-act-pair · gpt-3.5-turbo

    direct questions or inquiries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    workshop
    -0.72
    ItemTracker
    -0.69
    swick
    -0.67
    DOC
    -0.64
     Suite
    -0.63
    isu
    -0.63
    CVE
    -0.60
    ãĤ¼ãĤ¦ãĤ¹
    -0.60
    EStreamFrame
    -0.60
    uyomi
    -0.59
    POSITIVE LOGITS
    zens
    1.39
    omsday
    1.23
    ctors
    1.23
    ctr
    1.19
    ppel
    1.17
    gging
    1.14
    herty
    1.06
    oley
    1.03
    ÄŁ
    0.99
    oming
    0.98
    Activations Density 0.043%

    No Known Activations