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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. 9342
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    Explanations

    text snippets related to watching or consuming content such as movies or websites

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to viewing content, particularly in a media or advertising context

    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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    Negative Logits
     mathemat
    -0.78
     seiz
    -0.70
     mutually
    -0.65
    nown
    -0.65
     enthusi
    -0.64
     proport
    -0.64
     Meaning
    -0.62
     caval
    -0.61
     subp
    -0.61
    stress
    -0.61
    POSITIVE LOGITS
    "},{"
    0.78
     WATCH
    0.75
    Watch
    0.75
    Kid
    0.75
     watching
    0.71
     Huck
    0.70
     Visit
    0.67
    Cool
    0.66
     Watch
    0.66
    videos
    0.65
    Activations Density 0.016%

    No Known Activations