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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. 4-RES-JB
    11. 22488
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    Explanations

    technical terms related to image and sound quality

    oai_token-act-pair · gpt-3.5-turbo

    technical specifications and performance details related to imaging technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Gonzalez
    -0.73
     Felix
    -0.72
     Fen
    -0.69
     purse
    -0.67
     Salvation
    -0.67
     Emirates
    -0.66
     Gut
    -0.66
     Puerto
    -0.66
    wal
    -0.66
     ceremonial
    -0.66
    POSITIVE LOGITS
    VIDIA
    1.15
     codec
    1.02
    amping
    0.95
     presets
    0.94
     settings
    0.91
    1080
    0.89
     acceleration
    0.89
    asonic
    0.89
     bandwidth
    0.88
    Audio
    0.88
    Activations Density 0.189%

    No Known Activations