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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. 3737
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    Explanations

    technical terms related to construction or development, especially regarding software and hardware

    oai_token-act-pair · gpt-3.5-turbo

    references to software or physical builds

    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
    izon
    -0.88
    ricular
    -0.77
    mia
    -0.77
    ican
    -0.75
    andra
    -0.75
    utical
    -0.73
    phant
    -0.71
    mic
    -0.69
     Lauder
    -0.67
    ught
    -0.66
    POSITIVE LOGITS
    smanship
    0.80
     kits
    0.75
    packs
    0.73
    offs
    0.71
     kit
    0.70
    building
    0.69
     decks
    0.69
    builder
    0.68
    camp
    0.68
    bot
    0.68
    Activations Density 0.036%

    No Known Activations