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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. 7-RES-JB
    11. 3190
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    Explanations

    words related to boredom and monotony

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of being boring or experiences perceived as dull

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orthy
    -0.82
    heed
    -0.79
    uana
    -0.78
    ports
    -0.76
    uberty
    -0.73
    ittee
    -0.70
    ornia
    -0.69
    ylum
    -0.68
    ept
    -0.67
    orah
    -0.67
    POSITIVE LOGITS
     boring
    0.80
    bye
    0.78
     craw
    0.74
    glers
    0.73
     bored
    0.71
     filler
    0.70
    nces
    0.68
     repetition
    0.68
     lame
    0.68
     mund
    0.68
    Activations Density 0.058%

    No Known Activations