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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. 5043
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    Explanations

    ampersands '&' followed by words related to a range of contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the ampersand symbol '&'

    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
    atche
    -0.77
     misunder
    -0.75
    senal
    -0.73
    nces
    -0.66
     mattered
    -0.65
    etsk
    -0.62
    iguous
    -0.62
    isoft
    -0.60
     Leilan
    -0.60
    sembly
    -0.59
    POSITIVE LOGITS
    GAN
    0.83
     Friends
    0.83
     Co
    0.79
    optional
    0.78
    wcsstore
    0.76
    ^^^^
    0.75
    nect
    0.73
     Company
    0.67
     Associates
    0.65
    ÃĽ
    0.64
    Activations Density 0.043%

    No Known Activations