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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. 9-RES-JB
    11. 23865
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    Explanations

    phrases relating to a specific event happening for the first time in history or in a specified period

    oai_token-act-pair · gpt-3.5-turbo

    references to significant temporal events or milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    asty
    -0.69
    ancel
    -0.61
    ophe
    -0.59
     tomat
    -0.58
    leted
    -0.57
    pread
    -0.56
    ancies
    -0.56
    omo
    -0.55
    CHAT
    -0.54
    wordpress
    -0.53
    POSITIVE LOGITS
     ever
    1.09
     EVER
    1.06
    ever
    1.00
     since
    0.97
     imaginable
    0.87
    Ever
    0.67
    selves
    0.63
     anniversary
    0.63
     Scotia
    0.62
    ibia
    0.61
    Activations Density 0.030%

    No Known Activations