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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. 2-RES-JB
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    Explanations

    terms related to significant advancements or discoveries

    oai_token-act-pair · gpt-3.5-turbo

    terms related to significant advancements or breakthroughs in various fields

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    POSITIVE LOGITS
     breakthrough
    1.15
    PsyNetMessage
    0.90
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    0.85
    stroke
    0.76
     Ambro
    0.72
    interstitial
    0.72
    ":""},{"
    0.71
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    0.70
    å£
    0.68
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    0.68
    Activations Density 0.006%

    No Known Activations