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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. 11-RES-JB
    11. 4984
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    Explanations

    references to books, films, tracks, and various media content

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various forms of media and entertainment such as films, shows, songs, and books

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    iverse
    -0.67
    ãĥĥ
    -0.64
    olor
    -0.61
     abound
    -0.61
    entimes
    -0.60
    sites
    -0.58
    ustomed
    -0.57
     pathological
    -0.57
    obs
    -0.56
    LD
    -0.56
    POSITIVE LOGITS
     EVER
    0.87
     installment
    0.83
     onwards
    0.83
     imaginable
    0.82
    imester
    0.82
     ever
    0.81
     onward
    0.76
    icipated
    0.74
     hurdle
    0.73
    akedown
    0.71
    Activations Density 0.262%

    No Known Activations