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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. 20771
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    Explanations

    dates in the month/day format

    oai_token-act-pair · gpt-3.5-turbo

    specific dates within the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     cumbers
    -0.64
    ortunately
    -0.62
     pione
    -0.62
     conflic
    -0.62
     unnecess
    -0.61
    ThumbnailImage
    -0.61
     newcom
    -0.61
    Þ
    -0.61
     practition
    -0.61
     glim
    -0.60
    POSITIVE LOGITS
     29
    1.04
     27
    1.00
     26
    0.99
     23
    0.98
     28
    0.98
     31
    0.98
     19
    0.97
     22
    0.97
     21
    0.97
     24
    0.95
    Activations Density 0.133%

    No Known Activations