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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. 9-RES-JB
    11. 13641
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    Explanations

    phrases containing the word "with"

    oai_token-act-pair · gpt-3.5-turbo

    the end-of-document markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    forth
    -0.69
    fair
    -0.68
    borgh
    -0.65
    shire
    -0.64
    Reilly
    -0.61
    according
    -0.61
    fm
    -0.59
    worthiness
    -0.59
    sburg
    -0.59
    necess
    -0.59
    POSITIVE LOGITS
    drawn
    0.91
    draw
    0.80
    redients
    0.71
     Hits
    0.70
     Intent
    0.69
     javascript
    0.69
    cloneembedreportprint
    0.69
     guiActiveUn
    0.68
     caveats
    0.68
     lyrics
    0.68
    Activations Density 0.023%

    No Known Activations