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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. 6049
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    Explanations

    words related to significant events or achievements

    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate significant 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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    Negative Logits
    thia
    -0.85
    gypt
    -0.78
    udder
    -0.74
    nery
    -0.71
    avia
    -0.69
    ©¶æ
    -0.69
    PLIED
    -0.68
    oras
    -0.68
    aleb
    -0.68
    itta
    -0.66
    POSITIVE LOGITS
     achievement
    1.10
     breakthrough
    1.02
     accomplishment
    0.95
     achievements
    0.91
     milestone
    0.90
     moment
    0.85
     Achievement
    0.81
     announcement
    0.79
     groundbreaking
    0.79
     landmark
    0.78
    Activations Density 0.131%

    No Known Activations