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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. 21587
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    Explanations

    dates written in the format Month Day

    oai_token-act-pair · gpt-3.5-turbo

    specific dates or months

    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
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    Negative Logits
     basket
    -0.67
     Tanz
    -0.66
    ļéĨĴ
    -0.64
     cumbers
    -0.60
    FTWARE
    -0.60
     multiplying
    -0.57
     nomine
    -0.56
     tsun
    -0.56
    ngth
    -0.56
     disse
    -0.56
    POSITIVE LOGITS
     07
    0.84
     04
    0.82
     08
    0.81
     06
    0.80
     03
    0.79
     29
    0.78
     09
    0.77
     05
    0.77
     27
    0.77
     28
    0.75
    Activations Density 0.042%

    No Known Activations