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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. 7787
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    Explanations

    names and proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to adult themes or content

    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
     Lav
    -0.74
     Hastings
    -0.73
    senal
    -0.73
    é»Ĵ
    -0.70
    765
    -0.69
     Leap
    -0.68
     Welch
    -0.68
     Sle
    -0.67
     Swamp
    -0.67
     Han
    -0.66
    POSITIVE LOGITS
    iger
    0.87
    ativity
    0.85
    ñ
    0.84
    ouri
    0.83
    ribe
    0.83
    actionDate
    0.82
    ulin
    0.81
    ainer
    0.80
    oly
    0.77
    ayer
    0.76
    Activations Density 0.219%

    No Known Activations