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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. 4-RES-JB
    11. 14784
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    Explanations

    proper nouns, specifically names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    ered
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     overc
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    aches
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     sear
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    cyclopedia
    -0.71
     grilled
    -0.70
    esy
    -0.68
     franc
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    eer
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    uration
    -0.67
    POSITIVE LOGITS
     DeL
    0.80
    ajor
    0.76
    asar
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     Lot
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    0.72
     Buchanan
    0.70
     Bee
    0.68
    TPPStreamerBot
    0.67
    itism
    0.67
     Quin
    0.66
    Activations Density 0.034%

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