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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. 7-RES-JB
    11. 5130
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    INDEX
    Explanations

    scientific or technical terms mentioned in abstracts or introductions of research papers

    oai_token-act-pair · gpt-3.5-turbo

    sections or headings related to abstracts and introductions in academic texts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    soDeliveryDate
    -0.83
     hire
    -0.69
    roman
    -0.67
    rive
    -0.67
     basket
    -0.64
    20439
    -0.63
     shred
    -0.63
    nam
    -0.63
    mage
    -0.63
    boats
    -0.62
    POSITIVE LOGITS
     Background
    1.05
    GROUND
    1.02
     References
    0.94
     Introduction
    0.93
     Definitions
    0.92
    ¶
    0.90
     Overview
    0.89
     Purpose
    0.89
     Differences
    0.86
    Introduction
    0.86
    Activations Density 0.058%

    No Known Activations