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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. 6-RES-JB
    11. 709
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    Explanations

    the word "about" followed by the number 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate generality or approximation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oric
    -0.82
    olor
    -0.79
    alian
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    alam
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    etts
    -0.71
    uggest
    -0.69
    raised
    -0.69
    ittal
    -0.69
    raft
    -0.69
    ews
    -0.68
    POSITIVE LOGITS
    anism
    0.76
     luck
    0.74
    pheus
    0.67
    ernel
    0.66
    Politics
    0.60
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    0.60
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    0.60
     everything
    0.59
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    0.59
     Famous
    0.55
    Activations Density 0.016%

    No Known Activations