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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. 11341
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    Explanations

    dates in the format month, day, and year

    oai_token-act-pair · gpt-3.5-turbo

    mentions of years, particularly recent years

    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
    paio
    -0.70
    ĪĴ
    -0.65
     domest
    -0.64
     rejuven
    -0.61
     multic
    -0.61
     rog
    -0.60
     predec
    -0.60
     charm
    -0.58
     intrig
    -0.58
     academics
    -0.58
    POSITIVE LOGITS
     Tweet
    0.79
    assetsadobe
    0.73
    [/
    0.71
    ramid
    0.71
     06
    0.69
    reenshot
    0.68
     (@
    0.66
     Miko
    0.66
    lez
    0.65
     05
    0.65
    Activations Density 0.023%

    No Known Activations