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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. 843
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    Explanations

    Specific references to the work of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of work or occupations

    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
    egu
    -0.73
    rimp
    -0.73
    ptoms
    -0.73
    igun
    -0.72
    fml
    -0.72
    kefeller
    -0.70
    OUS
    -0.70
    SpaceEngineers
    -0.70
    etsk
    -0.70
    wcsstore
    -0.68
    POSITIVE LOGITS
     extracting
    0.72
     transl
    0.71
     transc
    0.65
     fiction
    0.65
     imagination
    0.65
     portraying
    0.64
     lawy
    0.64
     journalism
    0.63
     collecting
    0.63
     Nanto
    0.63
    Activations Density 0.125%

    No Known Activations