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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. 1-RES-JB
    11. 807
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate consequences or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    bor
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    vision
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    cot
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    pel
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    trak
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    ve
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    foundation
    -0.66
    asi
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    pell
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    ved
    -0.65
    POSITIVE LOGITS
     resulting
    0.86
     results
    0.83
    ãĥĥãĥī
    0.81
     pandemonium
    0.79
     kWh
    0.76
    ãĤº
    0.75
    ĸļ
    0.74
    SourceFile
    0.74
    results
    0.73
    uces
    0.73
    Activations Density 0.004%

    No Known Activations