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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. 6-RES-JB
    11. 721
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    Explanations

    mechanisms or processes involved in various phenomena

    oai_token-act-pair · gpt-3.5-turbo

    references to mechanisms or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iaries
    -0.73
    hiro
    -0.73
    minster
    -0.68
     Parables
    -0.66
    hab
    -0.66
    gets
    -0.64
     Kund
    -0.63
    uden
    -0.63
     Banner
    -0.63
    atana
    -0.62
    POSITIVE LOGITS
    utics
    0.98
     mechanism
    0.88
     mechanisms
    0.88
     whereby
    0.88
     Mechan
    0.81
    ptoms
    0.79
    witz
    0.78
     workings
    0.77
     symmetry
    0.71
    ologies
    0.71
    Activations Density 0.033%

    No Known Activations