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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. 16718
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    Explanations

    codes, symbols, and specific text formats

    oai_token-act-pair · gpt-3.5-turbo

    special characters and formatting elements in the text

    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
    ibles
    -0.70
    Reviewer
    -0.70
     FAT
    -0.65
     negatives
    -0.63
    ifice
    -0.63
    sonian
    -0.62
     attendance
    -0.61
    agonist
    -0.60
    gencies
    -0.59
     experien
    -0.59
    POSITIVE LOGITS
    enza
    0.87
    ¯
    0.67
    ();
    0.67
    uph
    0.64
    rio
    0.64
    ear
    0.61
    (),
    0.61
    `.
    0.60
    +(
    0.60
    ç
    0.59
    Activations Density 0.347%

    No Known Activations