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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. 8-RES-JB
    11. 685
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    Explanations

    scientific theories or principles

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific theories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mous
    -0.70
    ãģį
    -0.68
    ments
    -0.67
     Pradesh
    -0.64
    ienced
    -0.63
     pledged
    -0.61
    events
    -0.60
    Emb
    -0.60
    æĸ¹
    -0.59
    igi
    -0.59
    POSITIVE LOGITS
    ologies
    1.07
    icist
    1.03
     underpin
    0.87
    craft
    0.86
    sonian
    0.85
     theories
    0.82
    ical
    0.78
     theory
    0.78
     physicist
    0.78
     theor
    0.77
    Activations Density 0.048%

    No Known Activations