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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. 15640
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    INDEX
    Explanations

    mentions related to different professions and work environments

    oai_token-act-pair · gpt-3.5-turbo

    statements and expressions related to competitive sports and athletes

    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
    ashington
    -0.61
    described
    -0.61
    Cu
    -0.58
    reply
    -0.58
     Weeks
    -0.58
    AFP
    -0.57
     "...
    -0.56
    âĢł
    -0.56
    utterstock
    -0.56
     ®
    -0.55
    POSITIVE LOGITS
     â̦"
    1.27
    )."
    1.20
     ..."
    1.17
    .")
    1.14
    )"
    1.14
     [
    1.04
    !"
    1.03
    ),"
    1.00
    )",
    0.99
    â̦"
    0.99
    Activations Density 1.696%

    No Known Activations